Sep 2012 HUG: Elastic, Multi-tenant, Highly Available Hadoop on Demand

What's hot

Point of View to Accelerate with dev ops

Sanjay B. Bhakta

Microsoft And Cloud Computing

David Chou

Microsoft Cloud Computing

David Chou

<b>MongoDB @ Redis Labs </b>[10:40 am - 11:00 am]<br />Efficiently digesting data in large volumes can prove to be challenging for any database. The challenges are compounded when this influx must be analyzed on the fly, or ""tasted"", to satisfy the sophisticated palates of modern apps. Luckily, there are several proven remedies you can concoct with Redis to help with potential indigestion.

Redis & MongoDB: Stop Big Data Indigestion Before It Starts

MongoDB

Watch here: https://bit.ly/36tEThx The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. Dealing with bureaucracy, different languages and protocols, and the definition of ingestion pipelines to load that data into your data lake can be complex. And all of this without even knowing if that data will be useful at all. Attend this session to learn: - How dynamic data challenges and the speed of change requires a new approach to data architecture – one that is real-time, agile and doesn’t rely on physical data movement. - Learn how logical data architecture can enable organizations to transition data faster to the cloud with zero downtime and ultimately deliver faster time to insight. - Explore how data as a service and other API management capabilities is a must in a hybrid cloud environment.

Cloud Modernization and Data as a Service Option

Denodo

Best Practices: Hadoop migration to Azure HDInsight

Revin Chalil

Watson kista summit 2018 icp

IBM Sverige

Cloud Computing and Big Data

Zaloni

MegaPort: Creating a Better Way for Networks and Cloud to Interconnect

Daniel Toomey

Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...

Cathrine Wilhelmsen

Cloudian and Rubrik outline the benefits of using a modern hybrid cloud based approach for your VMware backups. While everyone is promising instant restores and shorter backup windows, Rubrik's solution with Cloudian additionally adds policy based management, reducing complexity. Tiering of data to Cloudian S3 Object Storage ensures that only the hottest backups are consuming SSD storage. Both solutions are scale-out so adding addition capacity is a breeze.

Cloudian and Rubrik - Hybrid Cloud based Disaster Recovery

Cloudian

You can find the webinar replay in the IDERA Resource Center: http://ow.ly/t10N50A4snJ Microsoft introduced Big Data Clusters at the recent Ignite conference. SQL Server Big Data Clusters only run on Kubernetes—a container orchestration platform that lets you run SQL Server on Linux, offering high availability and disaster recovery. While high availability and disaster recovery were a challenge on Linux in SQL Server 2017, Kubernetes makes this process painless and simplifies the overall deployment process. Join IDERA and Joey D’Antoni as he walks through how to deploy, configure, and maintain your SQL Server containers so they are available and meet your performance needs. Speaker: Joey D'Antoni is a Senior Consultant and SQL Server MVP with over a decade of experience working in both Fortune 500 and smaller firms. He is a Principal Architect for Denny Cherry and Associates and lives in Malvern, PA. He is a frequent speaker at major tech events, and blogger about all topics technology. He believes that no single platform is the answer to all technology problems. He holds a BS in Computer Information Systems from Louisiana Tech University and an MBA from North Carolina State University, and is the co-author of the Microsoft white paper "Using Power BI in a Hybrid Environment.

Geek Sync | Linux, Containers, and SQL Server—Get Ready for Big Data Clusters...

IDERA Software

This presentation is designed to help companies strengthen their competitive advantage by leveraging publicly available Web sources. Entrepreneurs, global industry leaders and enterprises of all sizes are turning Web data into lucrative opportunities – creating new revenue-generating products, reducing costs and re-engineering workflows to optimize pricing, streamline reporting, ensure compliance, engage interactively with clients and more. This presentation uses a variety of success stories to illustrate ways in which businesses can use Web data to drive revenue and streamline operations.

Using Web Data to Drive Revenue and Reduce Costs

Connotate

Alluxio - Virtual Unified File System

Alluxio, Inc.

Why Migrate from MySQL to Cassandra

DATAVERSITY

Cloudian HyperStore 5.0 Release What's New

Cloudian

dashDB Enterprise MPP is a new fully managed cloud data warehouse service with massive scale and performance. Powered by IBM's network cluster architecture, dashDB MPP is an easy to use, self service solution for building: standalone data warehouses; data science data marts; hybrid warehousing; development and QA environments; and analytics for NoSQL. It is available through IBM Bluemix along with IBM's other Cloud Data Services, including Cloudant and SQL DB.

Introducing dashDB MPP: The Power of Data Warehousing in the Cloud

IBM Cloud Data Services

Cloud service models 101

Nagaraj Shenoy

MS TechDays 2011 - Generate Revenue on Azure

Spiffy

Architecting Solutions Leveraging The Cloud

David Chou

What's hot (20)

Point of View to Accelerate with dev ops

Microsoft And Cloud Computing

Microsoft Cloud Computing

Redis & MongoDB: Stop Big Data Indigestion Before It Starts

Cloud Modernization and Data as a Service Option

Best Practices: Hadoop migration to Azure HDInsight

Watson kista summit 2018 icp

Cloud Computing and Big Data

MegaPort: Creating a Better Way for Networks and Cloud to Interconnect

Lessons Learned: Understanding Pipeline Pricing in Azure Data Factory and Azu...

Cloudian and Rubrik - Hybrid Cloud based Disaster Recovery

Geek Sync | Linux, Containers, and SQL Server—Get Ready for Big Data Clusters...

Using Web Data to Drive Revenue and Reduce Costs

Alluxio - Virtual Unified File System

Why Migrate from MySQL to Cassandra

Cloudian HyperStore 5.0 Release What's New

Introducing dashDB MPP: The Power of Data Warehousing in the Cloud

Cloud service models 101

MS TechDays 2011 - Generate Revenue on Azure

Architecting Solutions Leveraging The Cloud

Similar to Sep 2012 HUG: Elastic, Multi-tenant, Highly Available Hadoop on Demand

Social Media, mobile devices and new innovative infrastructures mean that more data is being used to serve end-users more than ever before. Enterprise customers must act quickly on data stored across their enterprise. IBM Elastic Caching solutions provide the best opportunity for improving your end-users experience in consuming application data. Every business, of every size, in every Industry needs an effective data caching solution. The industry has moved beyond the bottleneck of CPU processing and must address the growing data bottleneck problems which prevent predictable and cost-effective scalability that directly impacts the performance and throughput of every data-intensive application. IBM Elastic Caching solutions WebSphere eXtreme Scale and the DataPower XC10 Appliance solve these problems better than the competition. Learn how IBM Elastic Caching solutions have evolved to eliminate enterprise data bottlenecks by elastically distributing data among many resources and allowing applications to efficiently access needed data quickly. We beat our competition by not only allowing our customers flexibility to create mission-critical applications that achieve predictable, scalable performance and high availability, but also extending and integrating IBM Elastic Caching into many IBM products covering Retail/Commerce solutions, Mobile Devices, Content Management, Business Rule Management, ESBs, Messaging and more.

Elastic Caching for a Smarter Planet - Make Every Transaction Count

Yakura Coffee

V fabricoverveiw telkom

Abdul Zaelani

This presentation was made by Emad Benjamin of VMware Technical Marketing. Normally I wouldn't upload someone else's preso but I really insisted this get posted and he asked me to help him out. This deck covers tips and best practices for virtualizing latency sensitive apps on vSphere in general, and takes a deep dive into virtualizing vFabric GemFire, which is a high-performance distributed and memory-optimized key/value store. Best practices include how to configure the virtual machines and how to tune them appropriately to the hardware the application runs on.

Virtualizing Latency Sensitive Workloads and vFabric GemFire

Carter Shanklin

Ibm big dataibm marriage of hadoop and data warehousing

DataWorks Summit

Business Intelligence and Data Analytics Revolutionized with Apache Hadoop

Cloudera, Inc.

How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...

Amr Awadallah

Ibm big data hadoop summit 2012 james kobielus final 6-13-12(1)

Ajay Ohri

Big Data and HPC

NetApp

"Amr Awadallah served as the VP of Engineering of Yahoo's Product Intelligence Engineering (PIE) team for a number of years. The PIE team was responsible for business intelligence and advanced data analytics across a number of Yahoo's key consumer facing properties (search, mail, news, finance, sports, etc). Amr will share the data architecture that PIE had implementted before Hadoop was deployed and the headaches that architecture entailed. Amr will then show how most, if not all of these headaches were eliminated once Hadoop was deployed. Amr will illustrate how Hadoop and Relational Database complement each other within the traditional business intelligence data stack, and how that enables organizations to access all their data under different operational and economic constraints."

Hadoop World 2011: How Hadoop Revolutionized Business Intelligence and Advanc...

Cloudera, Inc.

靈活運用 Hadoop 的資料與分析成為最有價值的商業智慧無需建置複雜的中繼 Cube 即可隨時直接分析來自 Hadoop 的資料，採用與 Hadoop 相同概念的 Column Store 技術，無需高檔的系統即可於彈指間輕鬆完成複雜又龐大的資料分析，呈現即時、互動的儀表板。讓儲存於 Hadoop 中的 Big Data 瞬間活化成為公司最夯的商業智慧來源，協助策略方向的制定與判斷。

Big Data 視覺化分析解決方案

Etu Solution

Hadoop in the Enterprise - Dr. Amr Awadallah @ Microstrategy World 2011

Cloudera, Inc.

Using Distributed In-Memory Computing for Fast Data Analysis

ScaleOut Software

Research ON Big Data

mysqlops

Research on big data

Roby Chen

Dell - Storage 12sept2012

Agora Group

Webinar | From Zero to Big Data Answers in Less Than an Hour – Live Demo Slides

Cloudera, Inc.

AWS Partner Presentation - Datapipe - Deploying Hybrid IT, AWS Summit 2012 - NYC

Amazon Web Services

Top 6 Reasons to Use a Distributed Data Grid

ScaleOut Software

The Infochimps Platform is the simplest, fastest, and most flexible way to implement proven big data infrastructure in the cloud. Scalably and affordably ingest data from wherever you need — your in-house systems, external data feeds, data from the web, or our Data Marketplace. Make it useful with in-stream data decoration and augmentation. Store and analyze it in the best place for your application. Hadoop, NoSQL, real-time analytics — how do you tie it all together? The Infochimps Platform takes the mystery and difficulty out of big data and seamlessly integrates it with your existing environment, so you can focus on gaining business insights from your data fast.

Infochimps #1 Big Data Platform for the Cloud

Brian Krpec

Accel Partners New Data Workshop 7-14-10

keirdo1

Similar to Sep 2012 HUG: Elastic, Multi-tenant, Highly Available Hadoop on Demand (20)

Elastic Caching for a Smarter Planet - Make Every Transaction Count

V fabricoverveiw telkom

Virtualizing Latency Sensitive Workloads and vFabric GemFire

Ibm big dataibm marriage of hadoop and data warehousing

Business Intelligence and Data Analytics Revolutionized with Apache Hadoop

How Apache Hadoop is Revolutionizing Business Intelligence and Data Analytics...

Ibm big data hadoop summit 2012 james kobielus final 6-13-12(1)

Big Data and HPC

Hadoop World 2011: How Hadoop Revolutionized Business Intelligence and Advanc...

Big Data 視覺化分析解決方案

Hadoop in the Enterprise - Dr. Amr Awadallah @ Microstrategy World 2011

Using Distributed In-Memory Computing for Fast Data Analysis

Research ON Big Data

Research on big data

Dell - Storage 12sept2012

Webinar | From Zero to Big Data Answers in Less Than an Hour – Live Demo Slides

AWS Partner Presentation - Datapipe - Deploying Hybrid IT, AWS Summit 2012 - NYC

Top 6 Reasons to Use a Distributed Data Grid

Infochimps #1 Big Data Platform for the Cloud

Accel Partners New Data Workshop 7-14-10

More from Yahoo Developer Network

Developing Mobile Apps for Performance - Swapnil Patel, Verizon Media

Yahoo Developer Network

Athenz - The Open-Source Solution to Provide Access Control in Dynamic Infras...

Yahoo Developer Network

Athenz & SPIFFE, Tatsuya Yano, Yahoo Japan

Yahoo Developer Network

Athenz with Istio - Single Access Control Model in Cloud Infrastructures, Tat...

Yahoo Developer Network

CICD at Oath using Screwdriver

Yahoo Developer Network

Offline and stream processing of big data sets can be done with tools such as Hadoop, Spark, and Storm, but what if you need to process big data at the time a user is making a request? Vespa (http://www.vespa.ai) allows you to search, organize and evaluate machine-learned models from e.g TensorFlow over large, evolving data sets with latencies in the tens of milliseconds. Vespa is behind the recommendation, ad targeting, and search at Yahoo where it handles billions of daily queries over billions of documents.

Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath

Yahoo Developer Network

How @TwitterHadoop Chose Google Cloud, Joep Rottinghuis, Lohit VijayaRenu

Yahoo Developer Network

The Future of Hadoop in an AI World, Milind Bhandarkar, CEO, Ampool

Yahoo Developer Network

Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...

Yahoo Developer Network

Containerized Services on Apache Hadoop YARN: Past, Present, and Future, Shan...

Yahoo Developer Network

HDFS Scalability and Security, Daryn Sharp, Senior Engineer, Oath

Yahoo Developer Network

Hadoop {Submarine} Project: Running deep learning workloads on YARN, Wangda T...

Yahoo Developer Network

Moving the Oath Grid to Docker, Eric Badger, Oath

Yahoo Developer Network

Architecting Petabyte Scale AI Applications

Yahoo Developer Network

Offline and stream processing of big data sets can be done with tools such as Hadoop, Spark, and Storm, but what if you need to process big data at the time a user is making a request? This presentation introduces Vespa (http://vespa.ai) – the open source big data serving engine. Vespa allows you to search, organize, and evaluate machine-learned models from e.g TensorFlow over large, evolving data sets with latencies in the tens of milliseconds. Vespa is behind the recommendation, ad targeting, and search at Yahoo where it handles billions of daily queries over billions of documents and was recently open sourced at http://vespa.ai.

Introduction to Vespa – The Open Source Big Data Serving Engine, Jon Bratseth...

Yahoo Developer Network

In recent times, YARN Capacity Scheduler has improved a lot in terms of some critical features and refactoring. Here is a quick look into some of the recent changes in scheduler: Global Scheduling Support General placement support Better preemption model to handle resource anomalies across and within queue. Absolute resources’ configuration support Priority support between Queues and Applications In this talk, we will deep dive into each of these new features to give a better picture of their usage and performance comparison. We will also provide some more brief overview about the ongoing efforts and how they can help to solve some of the core issues we face today. Speakers: Sunil Govind (Hortonworks), Jian He (Hortonworks)

Jun 2017 HUG: YARN Scheduling – A Step Beyond

Yahoo Developer Network

In recent years, Yahoo has brought the big data ecosystem and machine learning together to discover mathematical models for search ranking, online advertising, content recommendation, and mobile applications. We use distributed computing clusters with CPUs and GPUs to train these models from 100’s of petabytes of data. A collection of distributed algorithms have been developed to achieve 10-1000x the scale and speed of alternative solutions. Our algorithms construct regression/classification models and semantic vectors within hours, even for billions of training examples and parameters. We have made our distributed deep learning solutions, CaffeOnSpark and TensorFlowOnSpark, available as open source. In this talk, we highlight Yahoo use cases where big data and machine learning technologies are best exemplified. We explain algorithm/system challenges to scale ML algorithms for massive datasets. We provide a technical overview of CaffeOnSpark and TensorFlowOnSpark to jumpstart your journey of large-scale machine learning. Speakers: Andy Feng is a VP of Architecture at Yahoo, leading the architecture and design of big data and machine learning initiatives. He has architected large-scale systems for personalization, ad serving, NoSQL, and cloud infrastructure. Prior to Yahoo, he was a Chief Architect at Netscape/AOL, and Principal Scientist at Xerox. He received a Ph.D. degree in computer science from Osaka University, Japan.

Jun 2017 HUG: Large-Scale Machine Learning: Use Cases and Technologies

Yahoo Developer Network

Spark and SQL-on-Hadoop have made it easier than ever for enterprises to create or migrate apps to the big data stack. Thousands of apps are being generated every day in the form of ETL and modeling pipelines, business intelligence and data cubes, deep machine learning, graph analytics, and real-time data streaming. However, the task of reliably operationalizing these big data apps involves many painpoints. Developers may not have the experience in distributed systems to tune apps for efficiency and performance. Diagnosing failures or unpredictable performance of apps can be a laborious process that involves multiple people. Apps may get stuck or steal resources and cause mission-critical apps to miss SLAs. This talk with introduce the audience to these problems and their common causes. We will also demonstrate how to find and fix these problems quickly, as well as prevent such problems from happening in the first place. Speakers: Dr. Shivnath Babu is a Co-founder and CTO of Unravel and Associate Professor of Computer Science at Duke University. With more than a decade of experience researching the ease of use and manageability of data-intensive systems, he leads the Starfish project at Duke, which pioneered the automation of Hadoop application tuning, problem diagnosis, and resource management. Shivnath has more than 80 peer-reviewed publications to his credit and has received the U.S. National Science Foundation CAREER Award, the HP Labs Innovation Award, and three IBM Faculty Awards.

February 2017 HUG: Slow, Stuck, or Runaway Apps? Learn How to Quickly Fix Pro...

Yahoo Developer Network

Apache Apex (http://apex.apache.org/) is a stream processing platform that helps organizations to build processing pipelines with fault tolerance and strong processing guarantees. It was built to support low processing latency, high throughput, scalability, interoperability, high availability and security. The platform comes with Malhar library - an extensive collection of processing operators and a wide range of input and output connectors for out-of-the-box integration with an existing infrastructure. In the talk I am going to describe how connectors together with the distributed checkpointing (a mechanism used by the Apex to support fault tolerance and high availability) provide exactly-once end-to-end processing guarantees. Speakers: Vlad Rozov is Apache Apex PMC member and back-end engineer at DataTorrent where he focuses on the buffer server, Apex platform network layer, benchmarks and optimizing the core components for low latency and high throughput. Prior to DataTorrent Vlad worked on distributed BI platform at Huawei and on multi-dimensional database (OLAP) at Hyperion Solutions and Oracle.

February 2017 HUG: Exactly-once end-to-end processing with Apache Apex

Yahoo Developer Network

In the analysis of big data there are problematic queries that don’t scale because they require huge compute resources and time to generate exact results. Examples include count distinct, quantiles, most frequent items, joins, matrix computations, and graph analysis. If approximate results are acceptable, there is a class of sub-linear, stochastic streaming algorithms, called "sketches", that can produce results orders-of magnitude faster and with mathematically proven error bounds. For interactive queries there may not be other viable alternatives, and in the case of extracting results for these problem queries in real-time, sketches are the only known solution. For any analysis system that requires these problematic queries from big data, sketches are a required toolkit that should be tightly integrated into the system's analysis capabilities. This technology has helped Yahoo successfully reduce data processing times from days to hours, or minutes to seconds on a number of its internal platforms. This talk covers the current state of our Open Source DataSketches.github.io library, which includes adaptations and example code for Pig, Hive, Spark and Druid and gives architectural examples of use and a case study. Speakers: Jon Malkin is a scientist at Yahoo working to extend the DataSketches library. His previous roles have involved large scale data processing for sponsored search, display advertising, user counting, ad targeting, and cross-device user identity modeling. Alexander Saydakov is a senior software engineer at Yahoo working on the open source Data Sketches project. In his previous roles he has been involved in building large-scale back-end data processing systems and frameworks for data analytics and experimentation based on Torque, Hadoop, Pig, Hive and Druid. Alexander’s education background is in the field of applied mathematics.

February 2017 HUG: Data Sketches: A required toolkit for Big Data Analytics

Yahoo Developer Network

More from Yahoo Developer Network (20)

Developing Mobile Apps for Performance - Swapnil Patel, Verizon Media

Athenz - The Open-Source Solution to Provide Access Control in Dynamic Infras...

Athenz & SPIFFE, Tatsuya Yano, Yahoo Japan

Athenz with Istio - Single Access Control Model in Cloud Infrastructures, Tat...

CICD at Oath using Screwdriver

Big Data Serving with Vespa - Jon Bratseth, Distinguished Architect, Oath

How @TwitterHadoop Chose Google Cloud, Joep Rottinghuis, Lohit VijayaRenu

The Future of Hadoop in an AI World, Milind Bhandarkar, CEO, Ampool

Apache YARN Federation and Tez at Microsoft, Anupam Upadhyay, Adrian Nicoara,...

Containerized Services on Apache Hadoop YARN: Past, Present, and Future, Shan...

HDFS Scalability and Security, Daryn Sharp, Senior Engineer, Oath

Hadoop {Submarine} Project: Running deep learning workloads on YARN, Wangda T...

Moving the Oath Grid to Docker, Eric Badger, Oath

Architecting Petabyte Scale AI Applications

Introduction to Vespa – The Open Source Big Data Serving Engine, Jon Bratseth...

Jun 2017 HUG: YARN Scheduling – A Step Beyond

Jun 2017 HUG: Large-Scale Machine Learning: Use Cases and Technologies

February 2017 HUG: Slow, Stuck, or Runaway Apps? Learn How to Quickly Fix Pro...

February 2017 HUG: Exactly-once end-to-end processing with Apache Apex

February 2017 HUG: Data Sketches: A required toolkit for Big Data Analytics

Recently uploaded

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

A Call to Action for Generative AI in 2024

Results

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Explore 'The Codex of Business: Writing Software for Real-World Solutions,' a compelling SlideShare presentation that delves into digital transformation in healthcare. Discover through a detailed case study how Agile methodologies empower healthcare providers to develop, iterate, and refine digital solutions that address real-world challenges. Learn how strategic planning, user feedback, and continuous improvement drive success in deploying technologies that enhance patient care and operational efficiency. Ideal for healthcare professionals, IT specialists, and digital transformation advocates seeking actionable insights and practical examples of technology making a real difference.

The Codex of Business Writing Software for Real-World Solutions 2.pptx

Malak Abu Hammad

Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia

A Year of the Servo Reboot: Where Are We Now?

Igalia

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

Delhi Call girls

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Earley Information Science

Slack Application Development 101 Slides

praypatel2

What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

Finology Group – Insurtech Innovation Award 2024

The Digital Insurer

[2024]Digital Global Overview Report 2024 Meltwater.pdf

hans926745

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

Handwritten Text Recognition for manuscripts and early printed texts

Maria Levchenko

Microsoft's Threat Matrix for Kubernetes helps organizations understand the attack surface a Kubernetes deployment introduces to their environments. This ensures that adequate detections and mitigations are in place. By covering over 40 different attacker techniques, defenders can learn about Kubernetes-specific mitigations and controls to deploy to their environments. In this session, we will explore the MS-TA9013 Host Path Mount technique, which is commonly used by attackers to perform privilege escalation in a Kubernetes cluster. Attendees will learn how attackers and defenders can: * Escape the container's host volume mount to gain persistence on an underlying node * Move laterally from the underlying node into the customer's cloud environment * Analyze Kubernetes audit logs to detect pods deployed with a hostPath mount * Deploy an admission controller that prevents new pods from using a hostPath mount

Breaking the Kubernetes Kill Chain: Host Path Mount

Puma Security, LLC

Scaling API-first – The story of a global engineering organization

Radu Cotescu

The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Igalia

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Recently uploaded (20)

A Domino Admins Adventures (Engage 2024)

Driving Behavioral Change for Information Management through Data-Driven Gree...

A Call to Action for Generative AI in 2024

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Codex of Business Writing Software for Real-World Solutions 2.pptx

A Year of the Servo Reboot: Where Are We Now?

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Slack Application Development 101 Slides

What Are The Drone Anti-jamming Systems Technology?

Finology Group – Insurtech Innovation Award 2024

[2024]Digital Global Overview Report 2024 Meltwater.pdf

Tata AIG General Insurance Company - Insurer Innovation Award 2024

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

Handwritten Text Recognition for manuscripts and early printed texts

Breaking the Kubernetes Kill Chain: Host Path Mount

Scaling API-first – The story of a global engineering organization

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Boost Fertility New Invention Ups Success Rates.pdf

Sep 2012 HUG: Elastic, Multi-tenant, Highly Available Hadoop on Demand

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Sep 2012 HUG: Elastic, Multi-tenant, Highly Available Hadoop on Demand

Similar to Sep 2012 HUG: Elastic, Multi-tenant, Highly Available Hadoop on Demand (20)

More from Yahoo Developer Network

More from Yahoo Developer Network (20)

Recently uploaded

Recently uploaded (20)

Sep 2012 HUG: Elastic, Multi-tenant, Highly Available Hadoop on Demand