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Recommandé
The number of databases and database technologies has grown considerably. Databases are also becoming more and more application specific. Neither end of the spectrum is easy to manage. That's how database-as-a-service (DBaaS) can help. You can limit the number of technologies and still be flexible.
Elasticsearch and the Database Market
Elasticsearch and the Database Market
ObjectRocket
Dennis Duckworth presented at In-Memory Computing Summit 2016, explaining a case study for how MaxCDN replaced the complex Lambda Architecture with VoltDB for a faster, simpler and smarter platform.
Lambda-B-Gone: In-memory Case Study for Faster, Smarter and Simpler Answers
Lambda-B-Gone: In-memory Case Study for Faster, Smarter and Simpler Answers
VoltDB
CAP is a data analytic solution that reveals unusual events, security threats or service failures from the server log files. Our customers are server admins and other IT professionals like DevOps engineers who don't have today efficient tools to utilize the massive volumes of data collected every day in the log files of their servers.
Cap intro oct2014 pdf
Cap intro oct2014 pdf
Markku Ranta
Data flow in the data center
Data flow in the data center
Adam Cataldo
Real-time results with Big Data almost seem like a paradox. The business capabilities unlocked by using map-reduce on vast amounts of data appear to go hand in hand with inertia. Something that only increases as your data lake grows. Enter the Lambda-architecture. With this new paradigm it is possible to combine the streaming of real-time results with the insights gained from batch processing.. At the same time it protects your most valuable asset, your data, from human error, and still provides the flexibility to develop new business capabilities. Rutger shares his knowledge on the Lambda-architecture based on a case-study that is reflective of modern day needs. The case-study is put in the context of the current Hadoop eco-system, including Apache Kafka and Spark, and will illustrate the benefits of this powerful combination.
Big Data Expo 2015 - Anchormen Enter the Lambda-architecture
Big Data Expo 2015 - Anchormen Enter the Lambda-architecture
BigDataExpo
Presented at Pune Data conference - http://punedataconference.com/ Getting Actionable, Reactive and Historic insights on large volumes of data
Getting Actionable, Reactive and Historic insights on large volumes of data
Getting Actionable, Reactive and Historic insights on large volumes of data
Ashish Tadose
I presented this topic in the Barcamp Hyderabad event on 16th February 2008
Building Low Cost Scalable Web Applications Tools & Techniques
Building Low Cost Scalable Web Applications Tools & Techniques
rramesh
Matrix for MongoDB
Making Sense of Time Series Data in MongoDB
Making Sense of Time Series Data in MongoDB
MongoDB
Recommandé
The number of databases and database technologies has grown considerably. Databases are also becoming more and more application specific. Neither end of the spectrum is easy to manage. That's how database-as-a-service (DBaaS) can help. You can limit the number of technologies and still be flexible.
Elasticsearch and the Database Market
Elasticsearch and the Database Market
ObjectRocket
Dennis Duckworth presented at In-Memory Computing Summit 2016, explaining a case study for how MaxCDN replaced the complex Lambda Architecture with VoltDB for a faster, simpler and smarter platform.
Lambda-B-Gone: In-memory Case Study for Faster, Smarter and Simpler Answers
Lambda-B-Gone: In-memory Case Study for Faster, Smarter and Simpler Answers
VoltDB
CAP is a data analytic solution that reveals unusual events, security threats or service failures from the server log files. Our customers are server admins and other IT professionals like DevOps engineers who don't have today efficient tools to utilize the massive volumes of data collected every day in the log files of their servers.
Cap intro oct2014 pdf
Cap intro oct2014 pdf
Markku Ranta
Data flow in the data center
Data flow in the data center
Adam Cataldo
Real-time results with Big Data almost seem like a paradox. The business capabilities unlocked by using map-reduce on vast amounts of data appear to go hand in hand with inertia. Something that only increases as your data lake grows. Enter the Lambda-architecture. With this new paradigm it is possible to combine the streaming of real-time results with the insights gained from batch processing.. At the same time it protects your most valuable asset, your data, from human error, and still provides the flexibility to develop new business capabilities. Rutger shares his knowledge on the Lambda-architecture based on a case-study that is reflective of modern day needs. The case-study is put in the context of the current Hadoop eco-system, including Apache Kafka and Spark, and will illustrate the benefits of this powerful combination.
Big Data Expo 2015 - Anchormen Enter the Lambda-architecture
Big Data Expo 2015 - Anchormen Enter the Lambda-architecture
BigDataExpo
Presented at Pune Data conference - http://punedataconference.com/ Getting Actionable, Reactive and Historic insights on large volumes of data
Getting Actionable, Reactive and Historic insights on large volumes of data
Getting Actionable, Reactive and Historic insights on large volumes of data
Ashish Tadose
I presented this topic in the Barcamp Hyderabad event on 16th February 2008
Building Low Cost Scalable Web Applications Tools & Techniques
Building Low Cost Scalable Web Applications Tools & Techniques
rramesh
Matrix for MongoDB
Making Sense of Time Series Data in MongoDB
Making Sense of Time Series Data in MongoDB
MongoDB
In this third and final installment of our Executive Webinar Series on Fast Data Strategy, Dennis Duckworth, Director of Product Marketing at VoltDB outlines 5 strategies for evaluating alternative business and technology options. You’ll gain easy-to-use tools to help you map potential areas of investment in new applications and services that use fast data. We’ll demystify today’s key functional requirements and examine the range of available technology options, including ‘free’ software.
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...
VoltDB
Stored procedures often get a bad rap, but this webinar argues that many of the things people hate about stored procedures are more about the implementation, rather than the concept. Watch this webinar presented by John Hugg, Founding Engineer, VoltDB to understand how stored procedure “superpowers” can make your application faster, simpler and safer.
Stored Procedure Superpowers: A Developer’s Guide
Stored Procedure Superpowers: A Developer’s Guide
VoltDB
Sri Chintala - Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Timothy McAliley
Machine Learning is not new, but its application across memory-optimized distributed systems has led to an explosion in both the number and capability of its uses. Pandora develops personalized content recommendations with machine learning algorithms, Tesla has produced the first widely distributed autonomous vehicle, and Amazon uses autonomous robots to move packages within its warehouses and even deliver packages. When coupled with real-time data, advanced analytics approaches like machine learning and deep learning create immediate business opportunities. Machine learning has never been more accessible—if your data pipelines support real-time analysis. Attendees will learn tools and techniques for integrating machine learning models across industries and organizations. Steven Camiña, MemSQL Product Manager, will walk through critical technologies needed in your technology ecosystem, including Python, Apache Kafka, Apache Spark, and a real-time database.
Building the Ideal Stack for Machine Learning
Building the Ideal Stack for Machine Learning
SingleStore
Comparison between top BI & Data Discovery Solutions. This is a short deck comparing Pyramid Analytics to QlikView, focusing on the core differences showing strengths and weaknesses.
Pyramid vs QlikView
Pyramid vs QlikView
Pyramid Analytics
In this webinar Kyle Kingsbury will talk about the testing process, how Jepsen works and what he found in VoltDB. Then listen to John Hugg, the Founding Engineer at VoltDB to learn why these tests are important, how VoltDB reacted to test findings and the QA process moving forward.
Kyle Kingsbury Talks about the Jepsen Test: What VoltDB Learned About Data Ac...
Kyle Kingsbury Talks about the Jepsen Test: What VoltDB Learned About Data Ac...
VoltDB
This is a short deck comparing Pyramid Analytics to Sisense, focusing on the core differences showing strengths and weaknesses.
Pyramid Analytics vs Sisense
Pyramid Analytics vs Sisense
Pyramid Analytics
Human-machine interaction is no longer the exclusive province of science fiction. The advance of the internet and connected devices has inspired data scientists to create machine-learning applications to extract value from these new forms of data. So what's the next frontier? Join MemSQL Engineer Michael Andrews and Sr. Director Mike Boyarski to learn how to use real-time data as a vehicle for operationalizing machine-learning models. Michael and Mike will explore advanced tools, including TensorFlow, Apache Spark, and Apache Kafka, and compelling use cases demonstrating the power of machine learning to effect positive change. You will learn: Top technologies for building the ideal machine-learning stack How to power machine-learning applications with real-time data A use case and demo of machine learning for social good
Machines and the Magic of Fast Learning
Machines and the Magic of Fast Learning
SingleStore
Gerhard Pretorius, Cloud Architect, Rackspace Asia presented at the Accion Cloud in Practice event in Singapore, where he described how enterprises can benefit from adopting the cloud, and what they need to consider while doing so
Accion Labs - Rackspace - How can cloud help you?
Accion Labs - Rackspace - How can cloud help you?
Accion Labs, Inc.
Enterprise Distributed Query Service Powered By Presto & Alluxio Across Clouds @WalmartLabs
Distributed Query Service Powered By Presto & Alluxio Across Clouds @Walmart...
Distributed Query Service Powered By Presto & Alluxio Across Clouds @Walmart...
Ashish Tadose
Nikita Shamgunov, MemSQL CTO talk from Gartner Data and Analytics Summit
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
SingleStore
Presentation highlights need for Presto in modern data analytics stack. Reference architecture for multi-tenant Presto offering in GCP at Walmart. Components used for automated deployment, auto-scaling, caching & security integrations to open source Presto.
Enterprise Presto PaaS offering in Google Cloud
Enterprise Presto PaaS offering in Google Cloud
Ashish Tadose
Modifying the schema of a production database is *hard*. If something goes wrong, the impact on both customers and the team can be enormous. And it can be hard or even impossible to rollback a database schema change if things go wrong. And the same is true for any architectural change for a production application. The Branch by Abstraction and Strangler Pattern makes significant application changes easier. Are there any similar patterns we can use to make production database changes less risky? Indeed, there are. The Expand/Contract pattern is a blueprint for making the database migration. It makes the remodelling both reversible and safe. By *expanding* the application to accommodate both the old and the new schemas in parallel, we can give ourselves time to: - Migrate any downstream dependencies on the old database schema - Gain confidence that the migration is safe We *contract* the application to the new version, once we’ve satisfied that the old schema is no longer needed. The pattern helps to make significant, but necessary refactorings to your data model in a **continuous delivery way**. Most importantly, without threatening the robustness of your production applications.
Expand contract pattern - Continuous Delivery and Databases
Expand contract pattern - Continuous Delivery and Databases
Leena N
Rick Negrin at Seattle Roadshow, March 3, 2017
Enabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoT
SingleStore
Presentation from Tableau Customer Conference 2013 on building a real time reporting/analytics platform. Topics discussed include definitions of big data and real time, technology choices and rationale, use cases for real time big data, architecture, and pitfalls to avoid.
Billions of Rows, Millions of Insights, Right Now
Billions of Rows, Millions of Insights, Right Now
Rob Winters
Michael Harroun, Director of Backend Architecture at TripleLift explores the benefits of leveraging real-time databases to power their programmatic native advertisement exchange.
TripleLift: Preparing for a New Programmatic Ad-Tech World
TripleLift: Preparing for a New Programmatic Ad-Tech World
VoltDB
Tools, techniques, and use cases for integrating real-time analytics across your organization.
Building the Ideal Stack for Real-Time Analytics
Building the Ideal Stack for Real-Time Analytics
SingleStore
Robin Li, Director of Data Engineering and Yohan Chin, VP Data Science at Tapjoy share how to architect the best application experience for mobile users using technologies including Apache Kafka, Apache Spark, and MemSQL. Speaker: Robin Li - Director of Data Engineering, Tapjoy and Yohan Chin - VP Data Science, Tapjoy
Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising
Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising
SingleStore
Talk at ConFoo 2017 in Montreal.
ConFoo 2017: Introduction to performance optimization of .NET web apps
ConFoo 2017: Introduction to performance optimization of .NET web apps
Pierre-Luc Maheu
Here is an introduction in the Jampp architecture for data processing. We walk through our journey of migrating to systems that allows us to process more data in real time
Processing 19 billion messages in real time and NOT dying in the process
Processing 19 billion messages in real time and NOT dying in the process
Jampp
Analytic Suite Appliance est une plateforme applicative destinée à fédérer l’ensemble des informations internes et externes au sein d’un référentiel unique.
Plaquette Analytic Suite Appliance Ingensi
Plaquette Analytic Suite Appliance Ingensi
Cyrès
This my film resume
Christopha vixamar
Christopha vixamar
tofa1017
Contenu connexe
Tendances
In this third and final installment of our Executive Webinar Series on Fast Data Strategy, Dennis Duckworth, Director of Product Marketing at VoltDB outlines 5 strategies for evaluating alternative business and technology options. You’ll gain easy-to-use tools to help you map potential areas of investment in new applications and services that use fast data. We’ll demystify today’s key functional requirements and examine the range of available technology options, including ‘free’ software.
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...
VoltDB
Stored procedures often get a bad rap, but this webinar argues that many of the things people hate about stored procedures are more about the implementation, rather than the concept. Watch this webinar presented by John Hugg, Founding Engineer, VoltDB to understand how stored procedure “superpowers” can make your application faster, simpler and safer.
Stored Procedure Superpowers: A Developer’s Guide
Stored Procedure Superpowers: A Developer’s Guide
VoltDB
Sri Chintala - Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Timothy McAliley
Machine Learning is not new, but its application across memory-optimized distributed systems has led to an explosion in both the number and capability of its uses. Pandora develops personalized content recommendations with machine learning algorithms, Tesla has produced the first widely distributed autonomous vehicle, and Amazon uses autonomous robots to move packages within its warehouses and even deliver packages. When coupled with real-time data, advanced analytics approaches like machine learning and deep learning create immediate business opportunities. Machine learning has never been more accessible—if your data pipelines support real-time analysis. Attendees will learn tools and techniques for integrating machine learning models across industries and organizations. Steven Camiña, MemSQL Product Manager, will walk through critical technologies needed in your technology ecosystem, including Python, Apache Kafka, Apache Spark, and a real-time database.
Building the Ideal Stack for Machine Learning
Building the Ideal Stack for Machine Learning
SingleStore
Comparison between top BI & Data Discovery Solutions. This is a short deck comparing Pyramid Analytics to QlikView, focusing on the core differences showing strengths and weaknesses.
Pyramid vs QlikView
Pyramid vs QlikView
Pyramid Analytics
In this webinar Kyle Kingsbury will talk about the testing process, how Jepsen works and what he found in VoltDB. Then listen to John Hugg, the Founding Engineer at VoltDB to learn why these tests are important, how VoltDB reacted to test findings and the QA process moving forward.
Kyle Kingsbury Talks about the Jepsen Test: What VoltDB Learned About Data Ac...
Kyle Kingsbury Talks about the Jepsen Test: What VoltDB Learned About Data Ac...
VoltDB
This is a short deck comparing Pyramid Analytics to Sisense, focusing on the core differences showing strengths and weaknesses.
Pyramid Analytics vs Sisense
Pyramid Analytics vs Sisense
Pyramid Analytics
Human-machine interaction is no longer the exclusive province of science fiction. The advance of the internet and connected devices has inspired data scientists to create machine-learning applications to extract value from these new forms of data. So what's the next frontier? Join MemSQL Engineer Michael Andrews and Sr. Director Mike Boyarski to learn how to use real-time data as a vehicle for operationalizing machine-learning models. Michael and Mike will explore advanced tools, including TensorFlow, Apache Spark, and Apache Kafka, and compelling use cases demonstrating the power of machine learning to effect positive change. You will learn: Top technologies for building the ideal machine-learning stack How to power machine-learning applications with real-time data A use case and demo of machine learning for social good
Machines and the Magic of Fast Learning
Machines and the Magic of Fast Learning
SingleStore
Gerhard Pretorius, Cloud Architect, Rackspace Asia presented at the Accion Cloud in Practice event in Singapore, where he described how enterprises can benefit from adopting the cloud, and what they need to consider while doing so
Accion Labs - Rackspace - How can cloud help you?
Accion Labs - Rackspace - How can cloud help you?
Accion Labs, Inc.
Enterprise Distributed Query Service Powered By Presto & Alluxio Across Clouds @WalmartLabs
Distributed Query Service Powered By Presto & Alluxio Across Clouds @Walmart...
Distributed Query Service Powered By Presto & Alluxio Across Clouds @Walmart...
Ashish Tadose
Nikita Shamgunov, MemSQL CTO talk from Gartner Data and Analytics Summit
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
SingleStore
Presentation highlights need for Presto in modern data analytics stack. Reference architecture for multi-tenant Presto offering in GCP at Walmart. Components used for automated deployment, auto-scaling, caching & security integrations to open source Presto.
Enterprise Presto PaaS offering in Google Cloud
Enterprise Presto PaaS offering in Google Cloud
Ashish Tadose
Modifying the schema of a production database is *hard*. If something goes wrong, the impact on both customers and the team can be enormous. And it can be hard or even impossible to rollback a database schema change if things go wrong. And the same is true for any architectural change for a production application. The Branch by Abstraction and Strangler Pattern makes significant application changes easier. Are there any similar patterns we can use to make production database changes less risky? Indeed, there are. The Expand/Contract pattern is a blueprint for making the database migration. It makes the remodelling both reversible and safe. By *expanding* the application to accommodate both the old and the new schemas in parallel, we can give ourselves time to: - Migrate any downstream dependencies on the old database schema - Gain confidence that the migration is safe We *contract* the application to the new version, once we’ve satisfied that the old schema is no longer needed. The pattern helps to make significant, but necessary refactorings to your data model in a **continuous delivery way**. Most importantly, without threatening the robustness of your production applications.
Expand contract pattern - Continuous Delivery and Databases
Expand contract pattern - Continuous Delivery and Databases
Leena N
Rick Negrin at Seattle Roadshow, March 3, 2017
Enabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoT
SingleStore
Presentation from Tableau Customer Conference 2013 on building a real time reporting/analytics platform. Topics discussed include definitions of big data and real time, technology choices and rationale, use cases for real time big data, architecture, and pitfalls to avoid.
Billions of Rows, Millions of Insights, Right Now
Billions of Rows, Millions of Insights, Right Now
Rob Winters
Michael Harroun, Director of Backend Architecture at TripleLift explores the benefits of leveraging real-time databases to power their programmatic native advertisement exchange.
TripleLift: Preparing for a New Programmatic Ad-Tech World
TripleLift: Preparing for a New Programmatic Ad-Tech World
VoltDB
Tools, techniques, and use cases for integrating real-time analytics across your organization.
Building the Ideal Stack for Real-Time Analytics
Building the Ideal Stack for Real-Time Analytics
SingleStore
Robin Li, Director of Data Engineering and Yohan Chin, VP Data Science at Tapjoy share how to architect the best application experience for mobile users using technologies including Apache Kafka, Apache Spark, and MemSQL. Speaker: Robin Li - Director of Data Engineering, Tapjoy and Yohan Chin - VP Data Science, Tapjoy
Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising
Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising
SingleStore
Talk at ConFoo 2017 in Montreal.
ConFoo 2017: Introduction to performance optimization of .NET web apps
ConFoo 2017: Introduction to performance optimization of .NET web apps
Pierre-Luc Maheu
Here is an introduction in the Jampp architecture for data processing. We walk through our journey of migrating to systems that allows us to process more data in real time
Processing 19 billion messages in real time and NOT dying in the process
Processing 19 billion messages in real time and NOT dying in the process
Jampp
Tendances
(20)
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...
Stored Procedure Superpowers: A Developer’s Guide
Stored Procedure Superpowers: A Developer’s Guide
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building near real-time HTAP solutions using Synapse Link for Azure Cosmos DB
Building the Ideal Stack for Machine Learning
Building the Ideal Stack for Machine Learning
Pyramid vs QlikView
Pyramid vs QlikView
Kyle Kingsbury Talks about the Jepsen Test: What VoltDB Learned About Data Ac...
Kyle Kingsbury Talks about the Jepsen Test: What VoltDB Learned About Data Ac...
Pyramid Analytics vs Sisense
Pyramid Analytics vs Sisense
Machines and the Magic of Fast Learning
Machines and the Magic of Fast Learning
Accion Labs - Rackspace - How can cloud help you?
Accion Labs - Rackspace - How can cloud help you?
Distributed Query Service Powered By Presto & Alluxio Across Clouds @Walmart...
Distributed Query Service Powered By Presto & Alluxio Across Clouds @Walmart...
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics
Enterprise Presto PaaS offering in Google Cloud
Enterprise Presto PaaS offering in Google Cloud
Expand contract pattern - Continuous Delivery and Databases
Expand contract pattern - Continuous Delivery and Databases
Enabling Real-Time Analytics for IoT
Enabling Real-Time Analytics for IoT
Billions of Rows, Millions of Insights, Right Now
Billions of Rows, Millions of Insights, Right Now
TripleLift: Preparing for a New Programmatic Ad-Tech World
TripleLift: Preparing for a New Programmatic Ad-Tech World
Building the Ideal Stack for Real-Time Analytics
Building the Ideal Stack for Real-Time Analytics
Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising
Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising
ConFoo 2017: Introduction to performance optimization of .NET web apps
ConFoo 2017: Introduction to performance optimization of .NET web apps
Processing 19 billion messages in real time and NOT dying in the process
Processing 19 billion messages in real time and NOT dying in the process
En vedette
Analytic Suite Appliance est une plateforme applicative destinée à fédérer l’ensemble des informations internes et externes au sein d’un référentiel unique.
Plaquette Analytic Suite Appliance Ingensi
Plaquette Analytic Suite Appliance Ingensi
Cyrès
This my film resume
Christopha vixamar
Christopha vixamar
tofa1017
"Máximas para mi hija"
Máximas Para Mi Hija
Máximas Para Mi Hija
Sebastian135790
Belíssima apresentação sobre a despedida de um gênio
Despedida uma pequena maravilha
Despedida uma pequena maravilha
Jorge de Moura
The National Graduate School of Quality Management's Strategic Plan.
Ngs2017 pub 092014 ppp
Ngs2017 pub 092014 ppp
NGSedu
Christopha vixamar ppp
Christopha vixamar ppp
tofa1017
Máximas Para Mi Hija
Máximas Para Mi Hija
Sebastian135790
Microsoft Windows has long been an ideal platform for the Oracle database server. Oracle has always fully supported Microsoft Windows and has added Windows‐ only features to Oracle. This trend has continued with Oracle 11g. In some respects, the choice of the Operating System (OS) is irrelevant and in other situations very important. This choice may depend on several variables, some technical and others business oriented. One may find that Microsoft Windows provides advantages in some environments, and disadvantages in others. Introducing a new OS into an existing Windows infrastructure for the purpose of running a single application such as Oracle, is no small task and can cause unforeseen problems, such as require additional staff or training. Similarly, installing Oracle on Windows in an exclusively UNIX environment can pose similar problems. This paper written by Ed Whalen, Performance Tuning Corporation COO and Oracle ACE, highlights some of the advantages of running Oracle on the Windows 64‐bit operating system. In addition, it addresses some of the basic issues and factors to consider when choosing to deploy a new operating system, such as Windows. For more information, learn more at www.perftuning.com
Advantages of running Oracle 11g on Microsoft Windows Server x64
Advantages of running Oracle 11g on Microsoft Windows Server x64
Performance Tuning Corporation
Oracle ACE Director Dan Morgan and Performance Tuning Corporation (PTC) Chief Strategy Officer Mark Swanholm present data security and the choices ahead for your organization. For more information about Performance Tuning Corporation, visit our website www.perftuning.com . What is discussed in this presentation? Security breaches and data theft have made big news headlines in recent months, from Target, to Home Depot and most recently Sony and Chick-Fil-A. Data is one of the most valuable assets in your business and organizations like yours need to be confident they are prepared for future security threats or risk loss of trust from customers and, possibly, unrecoverable financial losses. But how do you approach security in your environment? How confident are you that your data is secure? And what are the objectives and right level of investment needed for the regulatory environment that exists today? What about tomorrow – will the Security Wars leave your company devastated? Oracle ACE Director Dan Morgan, an internationally recognized expert in database technology and former University of Washington lecturer, and Mark Swanholm, PTC’s Chief Strategy Officer and 22 year IT Veteran, address the issue of data security from the standpoint of what it is, how to approach it, and what is actually required to avoid being the next victim of hackers. This Performance Tuning Corporation presentation is focusing on strategy, management, planning, and budgeting, and provides you and your management team the information they need to plan make the best possible decision with respect to an investment to secure your data.
Your data is your business: Secure it or Lose it!
Your data is your business: Secure it or Lose it!
Performance Tuning Corporation
Découvrez la nouvelle offre IaaS Hosteam basée sur les technologies de Windows Azure Pack
Le Cloud sous contrôle
Le Cloud sous contrôle
Cyrès
CamStudio
CamStudio
CamStudio
andrexitojrm
Aspt.Taipe Chiliquinga Julio Cesar
Diapositiva Ast. Julio Taipe
Diapositiva Ast. Julio Taipe
juliocesarr93
Oracle ACE Director Dan Morgan presented those slides about migrating to database 12c and how to get it right. For more information, visit www.perftuning.com Between 2015 and 2017 a large percentage of Oracle's existing customer base will be upgrading their existing databases to the new version 12cR1. Most of the time when upgrades happen the only benefits organizations receive are the satisfaction of having survived the upgrade unscathed. In general, the new database, other than having a new version number, provides little in the way of tangible benefits. With the re-architecture that can come with a 12cR1 upgrade it is, for the first time, possible to plan for and receive substantial measurable benefits, and possible to make costly mistakes that could create substantial liabilities that are both business and financial. Oracle ACE Director and industry veteran Dan Morgan, in a presentation targeted to IT/IS management explores both the benefits and the risks and provide a guideline for "getting it right." This Performance Tuning's Lunch & Learn event focuses on management, planning, and budgeting, not features and technology, and provides you and your management teams the information they need to perform the next database upgrade or migration cycle.
Migrating to Database 12c Multitenant - New Opportunities To Get It Right!
Migrating to Database 12c Multitenant - New Opportunities To Get It Right!
Performance Tuning Corporation
Oracle ACE Director Dan Morgan and PTC Chief Strategy Officer Mark Swanholm, presented this special webinar to discuss Big Data and the choices ahead for organizations. for more details about Performance Tuning Corporation, visit www.peftuning.com . Organizations are being bombarded with messages telling you that you must make an investment in Big Data, that without it your organization will be rendered obsolete, a mere bystander, on the road to increased growth and profitability. But do you? How exactly will your organization benefit from Big Data? When do you invest – and does investing in Big Data mean leaving the rest of your data strategy stranded? Oracle ACE Director Dan Morgan, an internationally recognized expert in database technology and former University of Washington lecturer, and Mark Swanholm, PTC’s Chief Strategy Officer and 22 year IT Veteran, will address the issue of Big Data from the standpoint of what it is, where the value can be found, what is actually required to turn this new technology into something of value. This Performance Tuning Corporation online event will focus on strategy, management, planning, and budgeting, and will provide you and your management team the information they need to plan make the best possible decision with respect to an investment in Big Data technology.
Big Data: How does it fit in your data strategy?
Big Data: How does it fit in your data strategy?
Performance Tuning Corporation
This presentation is an overview of things all IT management team needs to consider before upgrading to Oracle Database 12c and were presented in a webinar: bit.ly/1yzSdsd Oracle ACE Director Dan Morgan was a 12c beta tester and is intimately familiar with changes in architecture and how they will impact existing infrastructure and planning and budgeting considerations. In 2015, most organizations will begin to migrate to the latest version of Oracle Database 12c, but few are aware of the challenges to management, planning and budgeting that need to be addressed before executing such a project. Dan Morgan presents what needs to be considered and shares a few tips about 12c new features. If you have any questions regarding your future Oracle migrations and upgrades, feel free to visit Performance Tuning Corporation at www.perftuning.com
Database 12c is ready for you... Are you ready for 12c?
Database 12c is ready for you... Are you ready for 12c?
Performance Tuning Corporation
Oracle ACE and Performance Tuning Corporation (PTC) founder, Ed Whalen discussed data migrations or upgrades, the choices ahead for your organization and how they relate to 12c. For more information about this topic, visit Performance Tuning Corporation website at www.perftuning.com . The currently released version of Oracle Database 12c is the one most organizations will begin to migrate to this year and yet few organizations have the experience necessary to understand the issues that must be addressed to avoid pitfalls such as downtime, delays, or over-spending. Oracle ACE Ed Whalen, a 20+ year industry veteran, Performance Tuning Corporation founder and distinguished author will provide advanced best practices for upgrading or migrating Oracle databases. Depending on specific system configurations, requirements and business needs, there are numerous methods for performing this vital activity and choosing the right one is critical. This webinar abswers questions such as: - When to upgrade or migrate an Oracle database? - What are the options for migration or upgrade? - What is the best method? Performance Tuning's Lunch & Learn is focused on management, planning, and budgeting, not features and technology, and will provide you and your management teams the information they need to perform the next database upgrade or migration cycle.
Are You Ready for 12c? Data Migration and Upgrade Best Practices
Are You Ready for 12c? Data Migration and Upgrade Best Practices
Performance Tuning Corporation
Slides Núcleo celular - Caroline Cerqueira Maciel
Slides Núcleo celular - Caroline Cerqueira Maciel
CCMbiologia
En vedette
(17)
Plaquette Analytic Suite Appliance Ingensi
Plaquette Analytic Suite Appliance Ingensi
Christopha vixamar
Christopha vixamar
Máximas Para Mi Hija
Máximas Para Mi Hija
Despedida uma pequena maravilha
Despedida uma pequena maravilha
Ngs2017 pub 092014 ppp
Ngs2017 pub 092014 ppp
Christopha vixamar ppp
Christopha vixamar ppp
Máximas Para Mi Hija
Máximas Para Mi Hija
Advantages of running Oracle 11g on Microsoft Windows Server x64
Advantages of running Oracle 11g on Microsoft Windows Server x64
Your data is your business: Secure it or Lose it!
Your data is your business: Secure it or Lose it!
Le Cloud sous contrôle
Le Cloud sous contrôle
CamStudio
CamStudio
Diapositiva Ast. Julio Taipe
Diapositiva Ast. Julio Taipe
Migrating to Database 12c Multitenant - New Opportunities To Get It Right!
Migrating to Database 12c Multitenant - New Opportunities To Get It Right!
Big Data: How does it fit in your data strategy?
Big Data: How does it fit in your data strategy?
Database 12c is ready for you... Are you ready for 12c?
Database 12c is ready for you... Are you ready for 12c?
Are You Ready for 12c? Data Migration and Upgrade Best Practices
Are You Ready for 12c? Data Migration and Upgrade Best Practices
Slides Núcleo celular - Caroline Cerqueira Maciel
Slides Núcleo celular - Caroline Cerqueira Maciel
Similaire à Analyser vos logs avec Ingensi
Deep dive into the most talked about topic in the software industry — how to design and prototype complex Big Data solutions by leveraging the Cloud.
Rapid Prototyping for Big Data with AWS
Rapid Prototyping for Big Data with AWS
SoftServe
Builders' Day Presentation
Builders' Day - Building Data Lakes for Analytics On AWS LC
Builders' Day - Building Data Lakes for Analytics On AWS LC
Amazon Web Services LATAM
Join us for a for a Amazon Kinesis tutorial webinar. In this session we will provide a reference architecture and instructions for building a system that performs real-time sliding-windows analysis over streaming clickstream data. We will use Amazon Kinesis for managed ingestion of streaming data at scale with the ability to replay past data, and run sliding-window computation using Apache Storm. We’ll demonstrate in the webinar on how to build the system and deploy on AWS and walkthrough all the steps from ingestion, processing, and storing to visualizing of the data in real-time.
AWS Webcast - Amazon Kinesis and Apache Storm
AWS Webcast - Amazon Kinesis and Apache Storm
Amazon Web Services
In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
2016 Utah Cloud Summit: Big Data Architectural Patterns and Best Practices on...
2016 Utah Cloud Summit: Big Data Architectural Patterns and Best Practices on...
1Strategy
Find out more about the Architectural Patterns and Best Practices on Big Data.
Big Data Architectural Patterns and Best Practices
Big Data Architectural Patterns and Best Practices
Amazon Web Services
Find out more about Architectural Patterns and Best Practices on AWS
Big Data Architectural Patterns and Best Practices
Big Data Architectural Patterns and Best Practices
Amazon Web Services
2 years ago if someone had claimed they could stand up a petabyte scale data warehouse in under an hour and then have a non-technical business user querying it live 30 minutes later without knowing any SQL or coding language, they would have been laughed out of the room. These days, that’s called taking advantage of disruptive technology. Amazon Web Services and Tableau Software have shifted the entire paradigm by which organizations not only store and access their data, but ultimately how they innovate with it. The fast, scalable, and inexpensive services that AWS provides for housing data combined with Tableau’s unbelievably flexible and user friendly visual analytic solution means that within hours an organization can securely put the power of their massive data assets into the hands of their domain experts without expensive overhead or lengthy ramp-up time. Attend this webinar to learn how Amazon Web Services and Tableau Software are leveraged together everyday to: • Empower visual ad-hoc data discovery against big data • Revolutionize corporate reporting and dashboards • Promote data driven decision making at every level The presentation will include: • A live demonstration of AWS and Tableau working together • A real customer case study focused on fraud detection and online video metrics • Live Q&A and an opportunity to trial both solutions
AWS Webcast - Tableau Big Data Solution Showcase
AWS Webcast - Tableau Big Data Solution Showcase
Amazon Web Services
Application design for the cloud using AWS
Application design for the cloud using AWS
Application design for the cloud using AWS
Jonathan Holloway
Building Your Own Facebook Real Time Analytics System with Cassandra and GigaSpaces. Facebook's real time analytics system is a good reference for those looking to build their real time analytics system for big data. The first part covers the lessons from Facebook's experience and the reason they chose HBase over Cassandra. In the second part of the session, we learn how we can build our own Real Time Analytics system, achieve better performance, gain real business insights, and business analytics on our big data, and make the deployment and scaling significantly simpler using the new version of Cassandra and GigaSpaces Cloudify.
Big Data Real Time Analytics - A Facebook Case Study
Big Data Real Time Analytics - A Facebook Case Study
Nati Shalom
Services Track 1
Big Data Architectural Patterns
Big Data Architectural Patterns
Amazon Web Services
Webinar @ Salon du Big Data, 02/03/2016
Simplify Big Data with AWS
Simplify Big Data with AWS
Julien SIMON
Webinar emitido el 23 de Septiembre
Big Data, Ingeniería de datos, y Data Lakes en AWS
Big Data, Ingeniería de datos, y Data Lakes en AWS
javier ramirez
Orielly MySQL Conference 2011 - Designing MySQL as data warehouse solution to handle tera bytes of data which compromises OLTP, ETL, OLAP and reporting
Designing Scalable Data Warehouse Using MySQL
Designing Scalable Data Warehouse Using MySQL
Venu Anuganti
From big data to big value : Infrastructure need and Huawei best practise
From big data to big value : Infrastructure need and Huawei best practise
BSP Media Group
For discovery-phase research, life sciences companies have to support infrastructure that processes millions to billions of transactions. The advent of a data lake to accomplish such a task is showing itself to be a stable and productive data platform pattern to meet the goal. We discuss how to build a data lake on AWS, using services and techniques such as AWS CloudFormation, Amazon EC2, Amazon S3, IAM, and AWS Lambda. We also review a reference architecture from Amgen that uses a data lake to aid in their Life Science Research.
AWS re:Invent 2016: How to Build a Big Data Analytics Data Lake (LFS303)
AWS re:Invent 2016: How to Build a Big Data Analytics Data Lake (LFS303)
Amazon Web Services
Presentation from the OEM Meeting held in Istanbul on November 22, 2018 at Çırağan Palace Kempinski.
MDS ap_OEM Product Portfolio Intorduction to the DT & Analytics
MDS ap_OEM Product Portfolio Intorduction to the DT & Analytics
MDS ap
Slides for a presentation I gave on May 4, 2011 at the GTA PHP user's group (http://meetup.gtaphp.org) about components for modern PHP application stacks
Modern Application Stacks
Modern Application Stacks
chartjes
TIBCO Jaspersoft® for AWS is a business intelligence suite that helps you deliver stunning interactive reports and dashboards inside your app that make it easy for your customers to get answers. Purpose-built for AWS, our reporting and analytics server quickly and easily connects to Amazon Relational Database Service (RDS), Amazon Redshift, and Amazon EMR. It includes ad-hoc reporting, dashboards, data analysis, data visualization, and data blending. In less than 10 minutes, you can be analyzing and reporting on your data. You get a full Cloud BI server starting at less than $1/hour, with no user or data limits and no additional fees. This webinar deck shows how embeddable analytics with TIBCO Jaspersoft for AWS gives you the power to create the experience your end users demand and how to scale and manage that experience across your customer base with AWS.
Building Analytic Apps for SaaS: “Analytics as a Service”
Building Analytic Apps for SaaS: “Analytics as a Service”
Amazon Web Services
Organizations use reports, dashboards, and analytics tools to extract insights from their data, monitor performance, and support decision making. To support these tools, data must be collected and prepared for use. We'll look at two approaches: a structured centralized data repository as a Data Warehouse the less-structured repository of a Data Lake. We'll compare these approaches, examine the services that support each, and explore how they work together. Level: Intermediate Speakers: Jay Formosa - Solutions Architect, AWS Aser Moustafa - Data Warehouse Specialist Solutions Architect, AWS Saunak Chandra - Partner Solutions Architect, Redshift Specialist, AWS
Data Warehouses and Data Lakes
Data Warehouses and Data Lakes
Amazon Web Services
Antoine Genereux, AWS Solutions Architect, takes us on a tour of database solutions available for the AWS Cloud, and powerful analytics and business intelligence reporting tools.
Database and Analytics on the AWS Cloud - AWS Innovate Toronto
Database and Analytics on the AWS Cloud - AWS Innovate Toronto
Amazon Web Services
Similaire à Analyser vos logs avec Ingensi
(20)
Rapid Prototyping for Big Data with AWS
Rapid Prototyping for Big Data with AWS
Builders' Day - Building Data Lakes for Analytics On AWS LC
Builders' Day - Building Data Lakes for Analytics On AWS LC
AWS Webcast - Amazon Kinesis and Apache Storm
AWS Webcast - Amazon Kinesis and Apache Storm
2016 Utah Cloud Summit: Big Data Architectural Patterns and Best Practices on...
2016 Utah Cloud Summit: Big Data Architectural Patterns and Best Practices on...
Big Data Architectural Patterns and Best Practices
Big Data Architectural Patterns and Best Practices
Big Data Architectural Patterns and Best Practices
Big Data Architectural Patterns and Best Practices
AWS Webcast - Tableau Big Data Solution Showcase
AWS Webcast - Tableau Big Data Solution Showcase
Application design for the cloud using AWS
Application design for the cloud using AWS
Big Data Real Time Analytics - A Facebook Case Study
Big Data Real Time Analytics - A Facebook Case Study
Big Data Architectural Patterns
Big Data Architectural Patterns
Simplify Big Data with AWS
Simplify Big Data with AWS
Big Data, Ingeniería de datos, y Data Lakes en AWS
Big Data, Ingeniería de datos, y Data Lakes en AWS
Designing Scalable Data Warehouse Using MySQL
Designing Scalable Data Warehouse Using MySQL
From big data to big value : Infrastructure need and Huawei best practise
From big data to big value : Infrastructure need and Huawei best practise
AWS re:Invent 2016: How to Build a Big Data Analytics Data Lake (LFS303)
AWS re:Invent 2016: How to Build a Big Data Analytics Data Lake (LFS303)
MDS ap_OEM Product Portfolio Intorduction to the DT & Analytics
MDS ap_OEM Product Portfolio Intorduction to the DT & Analytics
Modern Application Stacks
Modern Application Stacks
Building Analytic Apps for SaaS: “Analytics as a Service”
Building Analytic Apps for SaaS: “Analytics as a Service”
Data Warehouses and Data Lakes
Data Warehouses and Data Lakes
Database and Analytics on the AWS Cloud - AWS Innovate Toronto
Database and Analytics on the AWS Cloud - AWS Innovate Toronto
Plus de Cyrès
Vous retrouverez dans cette présentation quelles sont les problématiques liées à la préservation des sauvegardes de données et comment les équipes Cloud de Cyrès s'appuient sur la solution Veeam Cloud Connect (VCC), mais également Veeam Availability Console et Veeam Backup & Replication pour garantir durablement la protection des sauvegardes.
Comment protéger ses sauvegardes de données et de machines virtuelles avec Ve...
Comment protéger ses sauvegardes de données et de machines virtuelles avec Ve...
Cyrès
Optimiser la productivité de l'entreprise est un enjeu de développement fort. L'organisation entre collaborateurs, les méthodes de travail et la recherche d'information sont des facteurs déterminant devant permettre la réalisation d'un projet client selon des contraintes techniques, d'allocation des ressources, de temps et de budget. La suite Office 365 est une plateforme collaborative d'entreprise disposant d'applications et d'outils permettant ainsi de répondre aux enjeux soulevés par l'évolution du travail collaboratif et par la transformation digitale des organisations.
Comment optimiser sa productivité avec office 365.
Comment optimiser sa productivité avec office 365.
Cyrès
Le datacenter Cyrès répond aux standards de sécurité les plus élevés et vise à limiter l’impact de ses activités sur l’environnement avec un PUE inférieur à 1,20. Son réseau électrique entièrement redondé, son coeur de réseau 10 GB et l’adduction de plusieurs fibres optiques garantissent une parfaite disponibilité des applications et des données que vous y hébergerez.
Datacenter conception Tier III - Location Baie Informatique
Datacenter conception Tier III - Location Baie Informatique
Cyrès
La migration des entreprises françaises vers le cloud semblerait s’orienter de plus en plus vers un modèle hybride. En 2015, 36 % des entreprises ayant choisi de migrer vers le cloud ont opté pour une solution de cloud hybride. [...] Qui sommes-nous ? http://www.cyres.fr/ http://www.hosteam.fr/
Etat de l'art du cloud [hybride] en france
Etat de l'art du cloud [hybride] en france
Cyrès
Hosteam vous apporte l’expérience d’un Cloud de proximité en maîtrisant toute la chaîne de valeurs IT.
Plaquette cloud hosteam 2015
Plaquette cloud hosteam 2015
Cyrès
Depuis 2005, Hosteam délivre des services cloud hautement sécurisés et disponibles grâce à la performance de son architecture et la disponibilité de ses équipes.
Plaquette cloud collaboratif
Plaquette cloud collaboratif
Cyrès
WikiTrends est un service gratuit d’analyse d’audience de l’encyclopédie Wikipédia lancé le 1er avril 2014 par la société Ingensi, pôle Big Data du Groupe Cyrès en partenariat avec Dell1 et Intel2. WikiTrends permet de quantifier les thématiques les plus recherchées par les utilisateurs sur l’encyclopédie Wikipédia, au travers une interface de visualisation graphique 3.
WikiTrends
WikiTrends
Cyrès
Le Groupe Cyrès, accompagne la gestion du patrimoine numérique de plus de 1 000 entreprises autour de 3 pôles d’expertises : Hosteam, expert dans le déploiement d’infrastructures matérielles hautement sécurisées, offre l’accès à un Cloud de proximité français et modulaire. Avec des équipes expertes, Hosteam assurent la sécurité de vos données et l’infogérance de vos services. Vous bénéficiez d’infrastructures à la demande adossées à des services premiums pour externaliser votre SI dans le Cloud et réduire ainsi vos coûts d’exploitation. Hébergez vos applications métiers, solutions Big Data, bases de données, solutions collaboratives ou solutions de virtualisation de poste de travail, dans le Cloud Hosteam. http://www.hosteam.fr/ Ingensi est un des acteurs précurseurs français dans le traitement de hauts volumes de données, l’analyse et l’exploitation des Big Data. Ingensi est notamment à l’origine de CloudKeeper, premier socle technique entièrement managé permettant de connecter des applications Big Data au sein d’une infrastructure évolutive et sécurisée. http://www.ingensi.com/fr/ Interactive est spécialisé dans le développement de solutions de visualisation de données interactives et ergonomiques (création sites Internet, sites SharePoint, intranet, extranet). http://interactive.cyres.fr/ Nous contacter par téléphone : 02 47 68 48 50
Groupe Cyrès
Groupe Cyrès
Cyrès
Plus de Cyrès
(8)
Comment protéger ses sauvegardes de données et de machines virtuelles avec Ve...
Comment protéger ses sauvegardes de données et de machines virtuelles avec Ve...
Comment optimiser sa productivité avec office 365.
Comment optimiser sa productivité avec office 365.
Datacenter conception Tier III - Location Baie Informatique
Datacenter conception Tier III - Location Baie Informatique
Etat de l'art du cloud [hybride] en france
Etat de l'art du cloud [hybride] en france
Plaquette cloud hosteam 2015
Plaquette cloud hosteam 2015
Plaquette cloud collaboratif
Plaquette cloud collaboratif
WikiTrends
WikiTrends
Groupe Cyrès
Groupe Cyrès
Dernier
In this talk, we are going to cover the use-case of food image generation at Delivery Hero, its impact and the challenges. In particular, we will present our image scoring solution for filtering out inappropriate images and elaborate on the models we are using.
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
Architecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
Corporate and higher education. Two industries that, in the past, have had a clear divide with very little crossover. The difference in goals, learning styles and objectives paved the way for differing learning technologies platforms to evolve. Now, those stark lines are blurring as both sides are discovering they have content that’s relevant to the other. Join Tammy Rutherford as she walks through the pros and cons of corporate and higher ed collaborating. And the challenges of these different technology platforms working together for a brighter future.
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
Rustici Software
Workshop Build With AI - Google Developers Group Rio Verde
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
Sandro Moreira
Six common myths about ontology engineering, knowledge graphs, and knowledge representation.
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
johnbeverley2021
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Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
apidays
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
Christopher Logan Kennedy
MINDCTI Revenue Release Quarter 1 2024
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
MIND CTI
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
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MS Copilot expands with MS Graph connectors
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Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Analyser vos logs avec Ingensi
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Process Algorithms, Datamiming, Datascience Sandbox Ad-Hoc Analysis Data
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Hive, Impala API/JDBC Cascalog, Java
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Visualize "Probably the most
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