Building the Ideal Stack for Real-Time Analytics

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Tools, techniques, and use cases for integrating real-time analytics across your organization.

Building the Ideal Stack
for Real-Time Analytics
Steven Camiña, Principal Product Manager

MISSION
Make every company a real-time enterprise
PRODUCT
Database Platform: Real-Time | Scalable | Proven
Ranked #1 Operational Data Warehouse
ABOUT
Founders are former Facebook, SQL Server database engineers
YC alumni with $85m in funding from top tier investors
MemSQL at a Glance

REAL-TIME ANALYTICS
Accessing data patterns that provide meaning to a
business as they come into a system.

Today’s Real-Time Discussion:
Web Logs, Mobile Apps, IoT

Today’s Real-Time Discussion:
Web Logs, Mobile Apps, IoT
Huge Opportunity
Take Existing
Batch Processes
Real-Time

Other
Drive new revenue opportunities
Increase efficiency and reduce cost
Power new applications
(Example: IoT data processing)
Improve customer experience
Deliver real-time dashboards 52%
52%
43%
36%
29%
4%
Why are you pursuing real-time analytics?
6 MemSQL State of Real Time Survey 2016

7
The Ideal Real-Time Stack
Message Queue Transformation Tier Data Persistence Real-Time Visualization

8
Real-Time Visualization

9
Message Queue

10
Transformation Tier

11
Data Persistence
SSD
In-Memory and
Solid State
Distributed
Architecture
Data Source
Connectivity
Flexible
Deployment
SQL
Scalable SQL

12
The Ideal Real-Time Stack
Message Queue Transformation Tier Data Persistence Real-Time Visualization

A massively scalable database and ingest solution allowed for
massive growth, real-time analytic applications and faster, targeted.
+
MemSQL Confidential13

14
TECHNICAL BENEFITS
§ Instant accuracy to the latest re-pin
§ 1 GB/sec totaling 72 TB/day
THE PINTEREST REAL-TIME ARCHITECTURE
REAL-TIME
ANALYTICS

Real-time drilling sensor data to manage the high stakes of
producing oil in a depressed market and maximizing productivity.
+
15
Energy Company

16
TECHNICAL BENEFITS
§ Enabled machine learning scoring of streaming data for real-
time Predictive Analytics
§ Integrated SAS BI PMML for deep analytics
§ Joined multiple data types and third party sources including
geospatial and weather data
Energy Company

17
REAL-TIME
INPUTS
Spark MLlib Predictive Model
Raw Sensor 1 + Predictive Score 1
S1 P1
1
BUSINESS
LOGIC
Energy Company

DEMO

New O’REILLY BOOK:
The Path to Predictive Analytics and
Machine Learning
Booth #308 or memsql.com/oreillyml
19

Thank You!
Try MemSQL: memsql.com/download
Contact: info@memsql.com
Twitter: @memsql

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빅데이터윈윈 컨퍼런스_데이터시각화자료

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Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine

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Ibm watson

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Spark meetup - Zoomdata Streaming

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Softnix Messaging Server

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Zoomdata

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Softnix Security Data Lake

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The use of large-scale machine learning and data mining methods is becoming ubiquitous in many application domains ranging from business intelligence and bioinformatics to self-driving cars. These methods heavily rely on matrix computations, and it is hence critical to make these computations scalable and efficient. These matrix computations are often complex and involve multiple steps that need to be optimized and sequenced properly for efficient execution. This work presents new efficient and scalable matrix processing and optimization techniques based on Spark. The proposed techniques estimate the sparsity of intermediate matrix-computation results and optimize communication costs. An evaluation plan generator for complex matrix computations is introduced as well as a distributed plan optimizer that exploits dynamic cost-based analysis and rule-based heuristics The result of a matrix operation will often serve as an input to another matrix operation, thus defining the matrix data dependencies within a matrix program. The matrix query plan generator produces query execution plans that minimize memory usage and communication overhead by partitioning the matrix based on the data dependencies in the execution plan. We implemented the proposed matrix techniques inside the Spark SQL, and optimize the matrix execution plan based on Spark SQL Catalyst. We conduct case studies on a series of ML models and matrix computations with special features on different datasets. These are PageRank, GNMF, BFGS, sparse matrix chain multiplications, and a biological data analysis. The open-source library ScaLAPACK and the array-based database SciDB are used for performance evaluation. Our experiments are performed on six real-world datasets are: social network data ( e.g., soc-pokec, cit-Patents, LiveJournal), Twitter2010, Netflix recommendation data, and 1000 Genomes Project sample. Experiments demonstrate that our proposed techniques achieve up to an order-of-magnitude performance.

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빅데이터윈윈 컨퍼런스_데이터시각화자료

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Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice Machine

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Create Your First SQL Server Cubes

The Briefing Room with Dr. Robin Bloor and WebAction Live Webcast on July 23, 2014 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=360d371d3a49ad256942f55350aa0a8b The waiting used to be the hardest part, but not anymore. Today’s cutting-edge enterprises can seize opportunities faster than ever, thanks to an array of technologies that enable real-time responsiveness across the spectrum of business processes. Early adopters are solving critical business challenges by enabling the rapid-fire design, development and production of very specific applications. Functionality can range from improved customer engagement to dynamic machine-to-machine interactions. Register for this episode of The Briefing Room to learn from veteran Analyst Dr. Robin Bloor, who will tout a new era in data-driven organizations, and why a data flow architecture will soon be critical for industry leaders. He’ll be briefed by Sami Akbay of WebAction, who will showcase his company’s real-time data management platform, which combines all the component parts needed to access, process and leverage data big and small. He’ll explain how this new approach can provide game-changing power to organizations of all types and sizes. Visit InsideAnlaysis.com for more information.

Take Action: The New Reality of Data-Driven Business

Take Action: The New Reality of Data-Driven Business

Take Action: The New Reality of Data-Driven Business

Inside Analysis

Real-time is the next phase of big data. For the modern enterprise, processing and analyzing large volumes of data quickly is integral to success. MemSQL and Spark share design philosophies like memory-optimized data processing and scale out on commodity hardware that enable enterprises to build a real-time time data pipeline, where operational data is always online. This session shares hands-on 'how-to' recipes to build real-time pipelines around Apache Spark, with detailed production examples covered.

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

In-Memory Computing Summit

According to Forrester Research, leaders in customer experience drive 5.1X revenue growth over laggards. And although 84% of companies aspire to be a leader in this space, only 1 in 5 successfully delivers good or great customer experience. Join us for our next webinar where Mike Gualtieri, VP and Principal Analyst at Forrester Research and Rajay Rai, Head of Digital Engineering at Macquarie Bank will share how Customer Experience can drive business results such as faster revenue growth, longer customer retention, greater employee engagement and improved profit margins. View webinar recording: https://youtu.be/eEc5tx-nHvI Explore past DataStax webinars: http://www.datastax.com/resources/webinars

Webinar: Transforming Customer Experience Through an Always-On Data Platform

Webinar: Transforming Customer Experience Through an Always-On Data Platform

Webinar: Transforming Customer Experience Through an Always-On Data Platform

Watch full webinar here: https://buff.ly/2HMdbUp What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Attend this session to learn: • What data virtualization really is, • How it differs from other enterprise data integration technologies • Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.

DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

These slides - based on the webinar - shed light on how business stakeholders make the most of information from their big data environments and the requirements those stakeholders have to turn big data into business impact. Using recent big data end-user research from leading IT analyst firm Enterprise Management (EMA), data from Vertica’s recent benchmarks on SQL on Hadoop, and firsthand customer experiences, viewers will learn: - Use cases where end users around the world are using big data in their organizations - How maturity with big data strategies impact why and how business stakeholders use information from their big data environments - How Vertica empowers the use of information from big data environments

How Businesses use Big Data to Impact the Bottom Line

How Businesses use Big Data to Impact the Bottom Line

How Businesses use Big Data to Impact the Bottom Line

Enterprise Management Associates

Ver: https://bit.ly/347ImDf En la era digital, la gestión eficiente de los datos es un factor fundamental para optimizar la competitividad de las empresas. Sin embargo, la mayoría de ellas se enfrentan a silos de datos, lo que hace que su tratamiento sea lento y costoso. Además, la velocidad, la diversidad y el volumen de los datos pueden superar las arquitecturas de TI tradicionales. ¿Cómo mejorar la entrega de datos para extraer todo su valor? ¿Cómo conseguir que los datos estén disponibles y poder utilizarlos en tiempo real? Los expertos de Vault IT y Denodo te proponen este webinar para descubrir cómo la virtualización de datos permite modernizar una arquitectura de TI en un contexto de transformación digital.

¿Cómo modernizar una arquitectura de TI con la virtualización de datos?

¿Cómo modernizar una arquitectura de TI con la virtualización de datos?

¿Cómo modernizar una arquitectura de TI con la virtualización de datos?

Architecting for Real-Time Big Data Analytics

Architecting for Real-Time Big Data Analytics

Architecting for Real-Time Big Data Analytics

Watch full webinar here: https://bit.ly/3fpitC3 Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions. Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards. In this session, you will learn: - Challenges faced by business users - How data virtualization enables self-service analytics - Use case and lessons from customer success - Overview of the highlight features in Tableau

Accelerate Self-Service Analytics with Data Virtualization and Visualization

Accelerate Self-Service Analytics with Data Virtualization and Visualization

Accelerate Self-Service Analytics with Data Virtualization and Visualization

Organizations that have vast amounts of data in legacy applications often experience difficulties delivering that data to business unit end-users. Register to learn how Eliza Corporation and Scholastic overcame this challenge by leveraging a Data Lake solution from NorthBay on AWS to optimize data analytics and provide greater visibility. AWS and NorthBay will give you an in-depth overview of how you can use a Data Lake in conjunction with your existing on-premises or cloud-based Data Warehouse. NorthBay helps organizations scale their ETL and data warehousing workloads using Amazon EMR and Amazon Redshift. Join us to learn: • Best practices for using a Data Lake in conjunction with your existing data warehouse • The key aspects of introducing agile and scrum methodologies into an enterprise • The most impactful cost-savings levers that are addressed via a cloud data warehouse migration Who should attend: Heads of Analytics, Heads of BI, Analytics Managers, BI Teams, Senior Analysts

Develop a Custom Data Solution Architecture with NorthBay

Develop a Custom Data Solution Architecture with NorthBay

Develop a Custom Data Solution Architecture with NorthBay

Amazon Web Services

Devops is a cultural movement gathering developers and IT Pros responsible for operating applications around common values, goals, practices and tools in order to accelerate development and deployment cycles, creating fast feedback loops between development and operations. Like agility 15 years ago, Devops adoption, accelerated by Cloud platforms adoption, involves organizational, cultural, as well as tehcnical aspects. Emerging movement a few years ago, now well established at consumer web and mobile companies, Devops starts to get in the Enterprise. This presentation will explain the cultural and organizational aspects of the Devops movement, then will give an overview of the most common tools that are used to implement a Devops approach, showing that Microsoft is one of the few providers proposing a complete and integrated toolset, that works seamlessly for .NET developers, while integrating the most popular third party open source and proprietary tools, making Azure a great platform to implement a Devops approach for Linux, Java and open source workloads. We will talk about Visual Studio Online, Windows Azure, System Center, Windows Server, Azure Pack, PowerShell, NewRelic, Chef & Puppet integrations, Jenkins, … This deck was presented at Microsoft Techdays 2014, Read more at http://www.microsoft.com/france/mstechdays/programmes/2014/fiche-session.aspx?ID=07af5982-c413-46c3-8214-bba12365529b#0CDPXYrtwEbWxrgW.99

Devops the Microsoft Way

Devops the Microsoft Way

Devops the Microsoft Way

Patrick Chanezon

Devops est un mouvement culturel qui rassemble developpeurs et IT Pros specialistes des operations autour de valeurs, buts et pratiques communes, dans le but d’accelerer le cycle de developpement et deploiement des applications, en creant des boucles de feedback retroactives rapides entre developpement et operation. Comme l’agilite il y a 15 ans, l’adoption de Devops, acceleree par l’adoption des plateformes en nuage, met en jeu des aspects organisationnels, culturels, et techniques. Mouvement emergent il y a quelques annees, bien implante aujourd’hui chez les fournisseurs d’applications grand public, Devops commence a interesser les developpeurs en enterprise. Cette presentation fera un etat des lieux des aspects culturels et organisationnels du mouvement Devops, puis un etat de l’art des outils a la mode en ce moment pour implementer une demarche Devops, montrant que Microsoft est un des rares acteurs du marche a proposer une panoplie complete d’outils integres dans ce domaine, tout en s’integrant avec les outils existants, qu’ils soient proprietaires ou open source: Visual Studio Online, Windows Azure, System Center, Windows Server, Azure Pack, PowerShell, NewRelic, Chef & Puppet integrations, Jenkins, … Speaker : Patrick Chanezon (Microsoft)

Devops a la sauce Microsoft

Devops a la sauce Microsoft

Devops a la sauce Microsoft

Similaire à Building the Ideal Stack for Real-Time Analytics (20)

Digital Business Transformation in the Streaming Era

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Enterprise Integration Patterns Revisited (EIP) for the Era of Big Data, Inte...

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Create Your First SQL Server Cubes

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Take Action: The New Reality of Data-Driven Business

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IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

IMCSummit 2015 - Day 1 IT Business Track - From Spark to Ignition

Webinar: Transforming Customer Experience Through an Always-On Data Platform

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DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization

How Businesses use Big Data to Impact the Bottom Line

How Businesses use Big Data to Impact the Bottom Line

How Businesses use Big Data to Impact the Bottom Line

¿Cómo modernizar una arquitectura de TI con la virtualización de datos?

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¿Cómo modernizar una arquitectura de TI con la virtualización de datos?

Architecting for Real-Time Big Data Analytics

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Devops the Microsoft Way

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Devops a la sauce Microsoft

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Plus de SingleStore

Five ways database modernization simplifies your data life

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Curriculum Associates Strata NYC 2017

Curriculum Associates Strata NYC 2017

Curriculum Associates Strata NYC 2017

Learn how to leverage MPP technology and distributed data to deliver high volume transactional and analytical work loads which result in real time dashboards on rapidly changing data using standard SQL tools. Demonstrations will include the streaming of structured and JSON data from Kafka messages through a micro-batch ETL process into the MemSQL database where the data is then queried using standard SQL tools and visualized leveraging Tableau. This session will focus on image recognition, the techniques available, and how to put those techniques into production. It will further explore algebraic operations on tensors, and how that can assist in large-scale, high-throughput, highly-parallel image recognition. LIVE DEMO: Constructing and executing a real-time image recognition pipeline using Kafka and Spark. Speaker: Neil Dahlke, MemSQL Senior Solutions Engineer

Image Recognition on Streaming Data

Image Recognition on Streaming Data

Image Recognition on Streaming Data

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

The State of the Data Warehouse in 2017 and Beyond

The State of the Data Warehouse in 2017 and Beyond

The State of the Data Warehouse in 2017 and Beyond

How Database Convergence Impacts the Coming Decades of Data Management

How Database Convergence Impacts the Coming Decades of Data Management

How Database Convergence Impacts the Coming Decades of Data Management

Teaching Databases to Learn in the World of AI

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Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud

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Gartner Catalyst 2017: Image Recognition on Streaming Data

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Gartner Catalyst 2017: Image Recognition on Streaming Data

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Plus de SingleStore (20)

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Five ways database modernization simplifies your data life

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An Engineering Approach to Database Evaluations

An Engineering Approach to Database Evaluations

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Building a Fault Tolerant Distributed Architecture

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Stream Processing with Pipelines and Stored Procedures

Curriculum Associates Strata NYC 2017

Curriculum Associates Strata NYC 2017

Curriculum Associates Strata NYC 2017

Image Recognition on Streaming Data

Image Recognition on Streaming Data

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Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

Spark Summit Dublin 2017 - MemSQL - Real-Time Image Recognition

The State of the Data Warehouse in 2017 and Beyond

The State of the Data Warehouse in 2017 and Beyond

The State of the Data Warehouse in 2017 and Beyond

How Database Convergence Impacts the Coming Decades of Data Management

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Teaching Databases to Learn in the World of AI

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Gartner Catalyst 2017: The Data Warehouse Blueprint for ML, AI, and Hybrid Cloud

Gartner Catalyst 2017: Image Recognition on Streaming Data

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Gartner Catalyst 2017: Image Recognition on Streaming Data

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Spark Summit West 2017: Real-Time Image Recognition with MemSQL and Spark

Dernier

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...

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

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

Enterprise Knowledge

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

Real Time Object Detection Using Open CV

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

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

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

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

Powerful Google developer tools for immediate impact! (2023-24 C)

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

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

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

Earley Information Science

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

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?

What Are The Drone Anti-jamming Systems Technology?

What Are The Drone Anti-jamming Systems Technology?

Antenna Manufacturer Coco

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

Presentation on how to chat with PDF using ChatGPT code interpreter

Presentation on how to chat with PDF using ChatGPT code interpreter

Presentation on how to chat with PDF using ChatGPT code interpreter

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

Discord is a free app offering voice, video, and text chat functionalities, primarily catering to the gaming community. It serves as a hub for users to create and join servers tailored to their interests. Discord’s ecosystem comprises servers, each functioning as a distinct online community with its own channels dedicated to specific topics or activities. Users can engage in text-based discussions, voice calls, or video chats within these channels. Understanding Discord Servers Discord servers are virtual spaces where users congregate to interact, share content, and build communities. Servers may revolve around gaming, hobbies, interests, or fandoms, providing a platform for like-minded individuals to connect. Communication Features Discord offers a range of communication tools, including text channels for messaging, voice channels for real-time audio conversations, and video channels for face-to-face interactions. These features facilitate seamless communication and collaboration. What Does NSFW Mean? The acronym NSFW stands for “Not Safe For Work,” indicating content that may be inappropriate for professional or public settings. NSFW Content NSFW content encompasses material that is sexually explicit, violent, or otherwise graphic in nature. It often includes nudity, profanity, or depictions of sensitive topics.

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Understanding Discord NSFW Servers A Guide for Responsible Users.pdf

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

Automating Google Workspace (GWS) & more with Apps Script

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

Breaking the Kubernetes Kill Chain: Host Path Mount

Breaking the Kubernetes Kill Chain: Host Path Mount

Puma Security, LLC

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Exploring the Future Potential of AI-Enabled Smartphone Processors

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

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Choosing the right accounts payable services provider is a strategic decision that can significantly impact your business's financial performance and operational efficiency. By considering factors such as expertise, range of services, technology infrastructure, scalability, cost, and reputation, businesses can make informed decisions and select a provider that aligns with their unique needs and objectives. Partnering with the right provider can streamline accounts payable processes, drive cost savings, and position your business for long-term success. https://katprotech.com/accounts-payable-and-purchase-order-automation/

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Building the Ideal Stack for Real-Time Analytics

1. Building the Ideal Stack for Real-Time Analytics Steven Camiña, Principal Product Manager

2. MISSION Make every company a real-time enterprise PRODUCT Database Platform: Real-Time | Scalable | Proven Ranked #1 Operational Data Warehouse ABOUT Founders are former Facebook, SQL Server database engineers YC alumni with $85m in funding from top tier investors MemSQL at a Glance

3. REAL-TIME ANALYTICS Accessing data patterns that provide meaning to a business as they come into a system.

4. Today’s Real-Time Discussion: Web Logs, Mobile Apps, IoT

5. Today’s Real-Time Discussion: Web Logs, Mobile Apps, IoT Huge Opportunity Take Existing Batch Processes Real-Time

6. Other Drive new revenue opportunities Increase efficiency and reduce cost Power new applications (Example: IoT data processing) Improve customer experience Deliver real-time dashboards 52% 52% 43% 36% 29% 4% Why are you pursuing real-time analytics? 6 MemSQL State of Real Time Survey 2016

7. 7 The Ideal Real-Time Stack Message Queue Transformation Tier Data Persistence Real-Time Visualization

8. 8 Real-Time Visualization

9. 9 Message Queue

10. 10 Transformation Tier

11. 11 Data Persistence SSD In-Memory and Solid State Distributed Architecture Data Source Connectivity Flexible Deployment SQL Scalable SQL

12. 12 The Ideal Real-Time Stack Message Queue Transformation Tier Data Persistence Real-Time Visualization

13. A massively scalable database and ingest solution allowed for massive growth, real-time analytic applications and faster, targeted. + MemSQL Confidential13

14. 14 TECHNICAL BENEFITS § Instant accuracy to the latest re-pin § 1 GB/sec totaling 72 TB/day THE PINTEREST REAL-TIME ARCHITECTURE REAL-TIME ANALYTICS

15. Real-time drilling sensor data to manage the high stakes of producing oil in a depressed market and maximizing productivity. + 15 Energy Company

16. 16 TECHNICAL BENEFITS § Enabled machine learning scoring of streaming data for real- time Predictive Analytics § Integrated SAS BI PMML for deep analytics § Joined multiple data types and third party sources including geospatial and weather data Energy Company

17. 17 REAL-TIME INPUTS Spark MLlib Predictive Model Raw Sensor 1 + Predictive Score 1 S1 P1 1 BUSINESS LOGIC Energy Company

19. New O’REILLY BOOK: The Path to Predictive Analytics and Machine Learning Booth #308 or memsql.com/oreillyml 19

20. Thank You! Try MemSQL: memsql.com/download Contact: info@memsql.com Twitter: @memsql