In this presentation, David Eaton and Mark Tellez from SRC Computers describe the company's new Saturn 1 server.
Learn more: Learn more: http://www.srccomputers.com
Watch the Video Presentation: http://wp.me/p3RLHQ-ea8
TripleLift: Preparing for a New Programmatic Ad-Tech WorldVoltDB
Michael Harroun, Director of Backend Architecture at TripleLift explores the benefits of leveraging real-time databases to power their programmatic native advertisement exchange.
Five ways database modernization simplifies your data lifeSingleStore
This document provides an overview of how database modernization with MemSQL can simplify a company's data life. It discusses five common customer scenarios where database limitations are impacting data-driven initiatives: 1) Slow event to insight delays, 2) High concurrency causing "wait in line" analytics, 3) Costly performance requiring specialized hardware, 4) Slow queries limiting big data analytics, and 5) Deployment inflexibility restricting multi-cloud usage. For each scenario, it provides an example customer situation and solution using MemSQL, highlighting benefits like real-time insights, scalable user access, cost efficiency, accelerated big data analytics, and deployment flexibility. The document also introduces MemSQL capabilities for fast data ingestion, instant
FLEXPay is a billing platform from Tungsten Solutions that allows vendors to connect with customers, process payments, and offer backup payment options to prevent defaults. It aggregates individual payments and provides real-time reporting and customization capabilities to help companies increase revenues, reduce costs, and improve the customer experience over legacy systems. FLEXPay offers advantages like being fully customizable, secure, fast, and requiring no software to purchase or maintain.
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud ModernizationDenodo
Watch the live presentation on-demand now: https://goo.gl/QanW35
Organizations are fast adapting cloud to lower the IT costs, and increase agility.
Watch this Denodo DataFest 2017 session to discover:
• How Logitech migrated their on-premise data warehouse and big data systems to the cloud and minimizing costs and immensely improved their time-to-market.
• The four main challenges Logitech faced when moving their data to the cloud.
• The benefits of adding a data virtualization layer to your data architecure.
This document discusses how 24/7 Inc uses big data and predictive analytics to create intuitive customer experiences across multiple channels. It summarizes that 24/7 Inc manages over 2.5 billion digital interactions per year from 4.5 terabytes of customer data. The company aims to anticipate customer needs, simplify interactions, and continuously learn from each experience. It does this through its cloud platform that can render seamless customer experiences across online, phone, mobile, and agent channels using large amounts of customer data and predictive modeling.
Billions of Rows, Millions of Insights, Right NowRob Winters
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.
Prepaid Banking on Steroids – Managing Massively Scalable Datasets with EaseHPCC Systems
As part of the 2018 HPCC Systems Community Day Event:
DataDriven Approach gives Sutton Bank cutting-edge advantage over other players in the market. An HPCC Systems based platform FinanSeer developed by DataSeers makes smaller regional banks take on larger players in the market with a key advantage in the market space which revolves around speed and accuracy of data handling. HPCC Systems has automated some of the most trivial tasks that’s have haunted the banking industry for many years and has posed serious problems in scaling the business in the prepaid world. Jeff Lewis, SVP of Sutton Bank, will explain how the HPCC Systems Based Solution made them leap ahead of competition and increase their efficiency ten-fold.
Senior management executive with 25 years of progressive experience taking complex technology and related-services to market. Recognized for ability to develop strategies and achieving results in key focus areas in Software as a Service environment. Results-oriented, cross functional team leader adept at quickly coming up to speed on the unique characteristics of any industry. Strong analytical, listening, communication and interpersonal skills. Significant experience in business planning, new market development, customer development, relationship management and strategy presentation in the Payments Market.
Compliance in Motion: Aligning Data Governance Initiatives with Business Obje...confluent
Speakers: Paige Bartley, Senior Analyst, Data and Enterprise Intelligence, Ovum + Cameron Tovey, Head of Information Security, Confluent
For many organizations that want to adopt streaming data, strengthening their governance protocol is a key requirement. While this certainly poses a challenge for data protection regulations and standards, it also limits the potential of data in broader enterprise initiatives that look to maximize the value of information.
There’s a prevailing enterprise perception that compliance with data protection regulations and standards, such as General Data Protection Regulation (GDPR) in the EU, Payment Card Industry (PCI), International Standards Organization (ISO) and many others is a burden: limiting the leverage of data. However, the core requirement of compliance—better control of data—has multiple downstream benefits. When compliance objectives are aligned with existing business objectives, the business can experience net gain.
For many organizations that want to adopt streaming data, strengthening their governance protocol is a key requirement. While this certainly poses a challenge for data protection regulations and standards, it also limits the potential of data in broader enterprise initiatives that look to maximize the value of information.
Learning objectives:
-Understand how data compliance can be a facilitator of existing business objectives rather than a burden
-Find out how to align existing business initiatives with compliance initiatives for maximum business benefit
-Learn about the place of streaming data and data-in-motion in the compliance effort
-Identify governance and tooling needs, existing controls and how they apply to new and emerging technology
-Discover your options for improving governance
TripleLift: Preparing for a New Programmatic Ad-Tech WorldVoltDB
Michael Harroun, Director of Backend Architecture at TripleLift explores the benefits of leveraging real-time databases to power their programmatic native advertisement exchange.
Five ways database modernization simplifies your data lifeSingleStore
This document provides an overview of how database modernization with MemSQL can simplify a company's data life. It discusses five common customer scenarios where database limitations are impacting data-driven initiatives: 1) Slow event to insight delays, 2) High concurrency causing "wait in line" analytics, 3) Costly performance requiring specialized hardware, 4) Slow queries limiting big data analytics, and 5) Deployment inflexibility restricting multi-cloud usage. For each scenario, it provides an example customer situation and solution using MemSQL, highlighting benefits like real-time insights, scalable user access, cost efficiency, accelerated big data analytics, and deployment flexibility. The document also introduces MemSQL capabilities for fast data ingestion, instant
FLEXPay is a billing platform from Tungsten Solutions that allows vendors to connect with customers, process payments, and offer backup payment options to prevent defaults. It aggregates individual payments and provides real-time reporting and customization capabilities to help companies increase revenues, reduce costs, and improve the customer experience over legacy systems. FLEXPay offers advantages like being fully customizable, secure, fast, and requiring no software to purchase or maintain.
Denodo DataFest 2017: Lowering IT Costs with Big Data and Cloud ModernizationDenodo
Watch the live presentation on-demand now: https://goo.gl/QanW35
Organizations are fast adapting cloud to lower the IT costs, and increase agility.
Watch this Denodo DataFest 2017 session to discover:
• How Logitech migrated their on-premise data warehouse and big data systems to the cloud and minimizing costs and immensely improved their time-to-market.
• The four main challenges Logitech faced when moving their data to the cloud.
• The benefits of adding a data virtualization layer to your data architecure.
This document discusses how 24/7 Inc uses big data and predictive analytics to create intuitive customer experiences across multiple channels. It summarizes that 24/7 Inc manages over 2.5 billion digital interactions per year from 4.5 terabytes of customer data. The company aims to anticipate customer needs, simplify interactions, and continuously learn from each experience. It does this through its cloud platform that can render seamless customer experiences across online, phone, mobile, and agent channels using large amounts of customer data and predictive modeling.
Billions of Rows, Millions of Insights, Right NowRob Winters
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.
Prepaid Banking on Steroids – Managing Massively Scalable Datasets with EaseHPCC Systems
As part of the 2018 HPCC Systems Community Day Event:
DataDriven Approach gives Sutton Bank cutting-edge advantage over other players in the market. An HPCC Systems based platform FinanSeer developed by DataSeers makes smaller regional banks take on larger players in the market with a key advantage in the market space which revolves around speed and accuracy of data handling. HPCC Systems has automated some of the most trivial tasks that’s have haunted the banking industry for many years and has posed serious problems in scaling the business in the prepaid world. Jeff Lewis, SVP of Sutton Bank, will explain how the HPCC Systems Based Solution made them leap ahead of competition and increase their efficiency ten-fold.
Senior management executive with 25 years of progressive experience taking complex technology and related-services to market. Recognized for ability to develop strategies and achieving results in key focus areas in Software as a Service environment. Results-oriented, cross functional team leader adept at quickly coming up to speed on the unique characteristics of any industry. Strong analytical, listening, communication and interpersonal skills. Significant experience in business planning, new market development, customer development, relationship management and strategy presentation in the Payments Market.
Compliance in Motion: Aligning Data Governance Initiatives with Business Obje...confluent
Speakers: Paige Bartley, Senior Analyst, Data and Enterprise Intelligence, Ovum + Cameron Tovey, Head of Information Security, Confluent
For many organizations that want to adopt streaming data, strengthening their governance protocol is a key requirement. While this certainly poses a challenge for data protection regulations and standards, it also limits the potential of data in broader enterprise initiatives that look to maximize the value of information.
There’s a prevailing enterprise perception that compliance with data protection regulations and standards, such as General Data Protection Regulation (GDPR) in the EU, Payment Card Industry (PCI), International Standards Organization (ISO) and many others is a burden: limiting the leverage of data. However, the core requirement of compliance—better control of data—has multiple downstream benefits. When compliance objectives are aligned with existing business objectives, the business can experience net gain.
For many organizations that want to adopt streaming data, strengthening their governance protocol is a key requirement. While this certainly poses a challenge for data protection regulations and standards, it also limits the potential of data in broader enterprise initiatives that look to maximize the value of information.
Learning objectives:
-Understand how data compliance can be a facilitator of existing business objectives rather than a burden
-Find out how to align existing business initiatives with compliance initiatives for maximum business benefit
-Learn about the place of streaming data and data-in-motion in the compliance effort
-Identify governance and tooling needs, existing controls and how they apply to new and emerging technology
-Discover your options for improving governance
Adam Cataldo discusses how Wealthfront uses data analytics and data flows. Wealthfront is an automated financial advisor that manages portfolios for a low fee. Cataldo works on Wealthfront's data platform, which uses Hadoop and Cascading to process large amounts of data from users, investments, and business operations. This data is used for website optimization, investment research, and monitoring systems. Cascading provides a data flow abstraction to specify transformations across multiple MapReduce jobs. Avro is used to store and transport data efficiently in Hadoop. Results are analyzed in Amazon Redshift for ad-hoc queries.
(Bjørn Kvernstuen + Tommy Jocumsen, Norwegian Directorate for Work and Welfare) Kafka Summit SF 2018
NAV (Norwegian Work and Welfare Department) currently distributes more than one third of the national budget to citizens in Norway or abroad. We’re there to assist people through all phases of life within the domains of work, family, health, retirement and social security. Events happening throughout a person’s life determines which services we provide to them, how we provide them and when we provide them.
Today, each person has to apply for these services resulting in many tasks that are largely handled manually by various case workers in the organization. Their access to insight and useful information is limited and often hard to find, causing frustration to both our case workers and our users. By streaming a person’s life events through our Kafka pipelines, we can revolutionize the way our users experience our services and the way we work.
NAV and the government as a whole have access to vast amounts of data about our citizens, reported by health institutions, employers, various government agencies or the users themselves. Some data is distributed by large batches, while others are available on-demand through APIs. We’re changing these patterns into streams using Kafka, Streams API and Java microservices. We aim to distribute and act on events about birth, death, relationships, employment, income and business processes to vastly improve the user experience, provide real-time insight and reduce the need to apply for services we already know are needed.
This talk will touch on the following topics:
-How we move from data-on-demand to streams
-How streams of life events will free our case workers from mundane tasks
-How life and business events make valuable insight
-How we protect our users and comply with GDPR
-Why we chose Confluent Platform
How to get Real-Time Value from your IoT Data - DatastaxDataStax
This document discusses DataStax Enterprise (DSE), a distributed database platform for IoT applications. DSE provides a fully integrated technology stack including Apache Cassandra, real-time analytics with Spark, search with Solr, file storage with DSEFS, and management tools. It allows ingesting large volumes of IoT data, performing real-time and batch analytics, and powering low-latency applications at global scale. The document highlights several DSE customer use cases handling trillions of transactions daily from millions of devices.
Building the Foundation for a Latency-Free LifeSingleStore
The document discusses how MemSQL is able to process 1 trillion rows per second on 12 Intel servers running MemSQL. It demonstrates this throughput by running a query to count the number of trades for the top 10 most traded stocks from a dataset of over 115 billion rows of simulated NASDAQ trade data. The document argues that a latency-free operational and analytical data platform like MemSQL that can handle both high-volume operational workloads and complex queries is key to powering real-time analytics and decision making.
Transforming Your Business with Fast Data – Five Use Case ExamplesVoltDB
Dheeraj Remella, Director of Solutions Architecture, VoltDB discusses how five customers transformed their business with VoltDB. Industries covered include ad tech data counting and tracking, content analytics for a global CDN, financial market data latency reduction and regulatory compliance, online game sessionization, player profiling and monetization and mobile network subscriber personalization, and ad delivery.
The document discusses using Google Cloud Platform for big data applications. It provides examples of how various companies are using GCP products like BigQuery, Dataflow, and Cloud Storage to gain insights from large, diverse datasets. Specifically, it outlines how marketing analytics, sensor data from IoT, log and system data, SaaS applications, and traditional Hadoop workloads can benefit from GCP's scalable and easy-to-use infrastructure for capturing, processing, and analyzing big data.
CISC 525 - Big Data Architecture - Tran (Ryan) Le - Real-time Portfolio and R...Ryan Le
This document proposes using Hadoop ecosystems to provide real-time portfolio and risk management insights for financial institutions. It involves collecting structured data from data warehouses and unstructured data like news and stock recommendations using Sqoop and Flume. The data will then be processed using Pig scripts and algorithms to analyze sentiment, calculate financial indicators, and determine stock probabilities. The results will be visualized in Zeppelin and Excel to help traders and investors make quicker decisions. Authentication will use Kerberos and authorization will use Accumulo's fine-grained access controls to secure the system.
Building an IoT Kafka Pipeline in Under 5 MinutesSingleStore
This document discusses building an IoT Kafka pipeline using MemSQL in under 5 minutes. It begins with an overview of IoT, Kafka, and operational data warehouses. It then discusses MemSQL and how it functions as an operational data warehouse by continuously loading and querying data in real-time. The document demonstrates launching a MemSQL cluster, creating schemas and pipelines to ingest, transform, persist and analyze IoT data from Kafka. It emphasizes MemSQL's ability to handle different data types and scales from IoT at high throughput with low latency.
How a Media Data Platform Drives Real-time Insights & Analytics using Apache ...Databricks
Roularta is a leading publishing company in Belgium. As digital news and channels move at a rapid pace and contain massive volumes of data, Roularta decided in 2019 to invest in a Spark-based data platform to drive true real-time website analytics and unlock insights on previously untouched (big) data sources. In this talk we’ll first explain why and how Roularta embarked from a classical data warehouse to a Spark-based Lakehouse using Delta. We’ll outline the series of publishing & marketing use-cases done in the last 12 months and highlight for each use-case the advantages of Spark and how the team further tuned performance to truly deliver insights with high velocity.
The document summarizes the benefits of using Yellowbrick Data Warehouse with MicroStrategy for business analytics. Yellowbrick provides a purpose-built all-flash SQL data warehouse that can scale from tens of terabytes to multiple petabytes. It offers capabilities like real-time data ingestion, interactive queries, and support for thousands of concurrent users. When used with MicroStrategy, it enables faster dashboards and queries, supports more MicroStrategy users with the same data footprint, and allows querying live data without pre-aggregations. Customers saw performance improvements like building 182 billion row tables in under two minutes.
The document discusses Softnix, a big data platform company. It introduces Softnix and its data platform, which allows ingesting data from any device or platform into an enterprise data lake. It then covers the roles of data engineers, data analysts, and data scientists. The remainder of the document demonstrates Talend's big data integration capabilities, including preparing and loading data on Hadoop and Hive, and provides a demo of importing and exploring data.
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...VoltDB
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.
The document discusses using a security data lake built on a big data platform to improve cyber defense visibility and analytics capabilities. It notes that traditional SIEM tools have limitations in scalability and openness that can be addressed using Hadoop and related big data technologies. Examples are given of how security data lakes can optimize SIEM systems by enabling greater data volumes, processing power, and analytics flexibility in a more cost effective and deployment flexible manner. The presentation concludes by describing Softnix's security data lake product and its capabilities for data collection, enrichment, analysis, search, and visualization.
Lessons Learned: The Impact of Fast Data for PersonalizationVoltDB
deltaDNA is leader in personalization, having honed their knowledge and skills in one of the most competitive and demanding markets: online gaming. In this Webinar, Chris Wright, deltaDNA’s CTO, joins VoltDB CMO, Peter Vescuso to explain how capturing and understanding data “in the moment” has enabled Chris to reduce margins, increase monetization, and understand his customers as well as provide the ability to react to them in real time.
Lambda-B-Gone: In-memory Case Study for Faster, Smarter and Simpler AnswersVoltDB
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.
Building the Next-gen Digital Meter Platform for FluviusDatabricks
Fluvius is the network operator for electricity and gas in Flanders, Belgium. Their goal is to modernize the way people look at energy consumption using a digital meter that captures consumption and injection data from any electrical installation in Flanders ranging from households to large companies. After full roll-out there will be roughly 7 million digital meters active in Flanders collecting up to terabytes of data per day. Combine this with regulation that Fluvius has to maintain a record of these reading for at least 3 years, we are talking petabyte scale. delaware BeLux was assigned by Fluvius to setup a modern data platform and did so on Azure using Databricks as the core component to collect, store, process and serve these volumes of data to every single consumer and beyond in Flanders. This enables the Belgian energy market to innovate and move forward. Maarten took up the role as project manager and solution architect.
Dev Lakhani, Data Scientist at Batch Insights "Real Time Big Data Applicatio...Dataconomy Media
Dev Lakhani, Data Scientist at Batch Insights talks on "Real Time Big Data Applications for Investment Banks and Financial Institutions" at the first Big Data Frankfurt event that took place at Die Zentrale, organised by Dataconomy Media
Adam Cataldo discusses how Wealthfront uses data analytics and data flows. Wealthfront is an automated financial advisor that manages portfolios for a low fee. Cataldo works on Wealthfront's data platform, which uses Hadoop and Cascading to process large amounts of data from users, investments, and business operations. This data is used for website optimization, investment research, and monitoring systems. Cascading provides a data flow abstraction to specify transformations across multiple MapReduce jobs. Avro is used to store and transport data efficiently in Hadoop. Results are analyzed in Amazon Redshift for ad-hoc queries.
(Bjørn Kvernstuen + Tommy Jocumsen, Norwegian Directorate for Work and Welfare) Kafka Summit SF 2018
NAV (Norwegian Work and Welfare Department) currently distributes more than one third of the national budget to citizens in Norway or abroad. We’re there to assist people through all phases of life within the domains of work, family, health, retirement and social security. Events happening throughout a person’s life determines which services we provide to them, how we provide them and when we provide them.
Today, each person has to apply for these services resulting in many tasks that are largely handled manually by various case workers in the organization. Their access to insight and useful information is limited and often hard to find, causing frustration to both our case workers and our users. By streaming a person’s life events through our Kafka pipelines, we can revolutionize the way our users experience our services and the way we work.
NAV and the government as a whole have access to vast amounts of data about our citizens, reported by health institutions, employers, various government agencies or the users themselves. Some data is distributed by large batches, while others are available on-demand through APIs. We’re changing these patterns into streams using Kafka, Streams API and Java microservices. We aim to distribute and act on events about birth, death, relationships, employment, income and business processes to vastly improve the user experience, provide real-time insight and reduce the need to apply for services we already know are needed.
This talk will touch on the following topics:
-How we move from data-on-demand to streams
-How streams of life events will free our case workers from mundane tasks
-How life and business events make valuable insight
-How we protect our users and comply with GDPR
-Why we chose Confluent Platform
How to get Real-Time Value from your IoT Data - DatastaxDataStax
This document discusses DataStax Enterprise (DSE), a distributed database platform for IoT applications. DSE provides a fully integrated technology stack including Apache Cassandra, real-time analytics with Spark, search with Solr, file storage with DSEFS, and management tools. It allows ingesting large volumes of IoT data, performing real-time and batch analytics, and powering low-latency applications at global scale. The document highlights several DSE customer use cases handling trillions of transactions daily from millions of devices.
Building the Foundation for a Latency-Free LifeSingleStore
The document discusses how MemSQL is able to process 1 trillion rows per second on 12 Intel servers running MemSQL. It demonstrates this throughput by running a query to count the number of trades for the top 10 most traded stocks from a dataset of over 115 billion rows of simulated NASDAQ trade data. The document argues that a latency-free operational and analytical data platform like MemSQL that can handle both high-volume operational workloads and complex queries is key to powering real-time analytics and decision making.
Transforming Your Business with Fast Data – Five Use Case ExamplesVoltDB
Dheeraj Remella, Director of Solutions Architecture, VoltDB discusses how five customers transformed their business with VoltDB. Industries covered include ad tech data counting and tracking, content analytics for a global CDN, financial market data latency reduction and regulatory compliance, online game sessionization, player profiling and monetization and mobile network subscriber personalization, and ad delivery.
The document discusses using Google Cloud Platform for big data applications. It provides examples of how various companies are using GCP products like BigQuery, Dataflow, and Cloud Storage to gain insights from large, diverse datasets. Specifically, it outlines how marketing analytics, sensor data from IoT, log and system data, SaaS applications, and traditional Hadoop workloads can benefit from GCP's scalable and easy-to-use infrastructure for capturing, processing, and analyzing big data.
CISC 525 - Big Data Architecture - Tran (Ryan) Le - Real-time Portfolio and R...Ryan Le
This document proposes using Hadoop ecosystems to provide real-time portfolio and risk management insights for financial institutions. It involves collecting structured data from data warehouses and unstructured data like news and stock recommendations using Sqoop and Flume. The data will then be processed using Pig scripts and algorithms to analyze sentiment, calculate financial indicators, and determine stock probabilities. The results will be visualized in Zeppelin and Excel to help traders and investors make quicker decisions. Authentication will use Kerberos and authorization will use Accumulo's fine-grained access controls to secure the system.
Building an IoT Kafka Pipeline in Under 5 MinutesSingleStore
This document discusses building an IoT Kafka pipeline using MemSQL in under 5 minutes. It begins with an overview of IoT, Kafka, and operational data warehouses. It then discusses MemSQL and how it functions as an operational data warehouse by continuously loading and querying data in real-time. The document demonstrates launching a MemSQL cluster, creating schemas and pipelines to ingest, transform, persist and analyze IoT data from Kafka. It emphasizes MemSQL's ability to handle different data types and scales from IoT at high throughput with low latency.
How a Media Data Platform Drives Real-time Insights & Analytics using Apache ...Databricks
Roularta is a leading publishing company in Belgium. As digital news and channels move at a rapid pace and contain massive volumes of data, Roularta decided in 2019 to invest in a Spark-based data platform to drive true real-time website analytics and unlock insights on previously untouched (big) data sources. In this talk we’ll first explain why and how Roularta embarked from a classical data warehouse to a Spark-based Lakehouse using Delta. We’ll outline the series of publishing & marketing use-cases done in the last 12 months and highlight for each use-case the advantages of Spark and how the team further tuned performance to truly deliver insights with high velocity.
The document summarizes the benefits of using Yellowbrick Data Warehouse with MicroStrategy for business analytics. Yellowbrick provides a purpose-built all-flash SQL data warehouse that can scale from tens of terabytes to multiple petabytes. It offers capabilities like real-time data ingestion, interactive queries, and support for thousands of concurrent users. When used with MicroStrategy, it enables faster dashboards and queries, supports more MicroStrategy users with the same data footprint, and allows querying live data without pre-aggregations. Customers saw performance improvements like building 182 billion row tables in under two minutes.
The document discusses Softnix, a big data platform company. It introduces Softnix and its data platform, which allows ingesting data from any device or platform into an enterprise data lake. It then covers the roles of data engineers, data analysts, and data scientists. The remainder of the document demonstrates Talend's big data integration capabilities, including preparing and loading data on Hadoop and Hive, and provides a demo of importing and exploring data.
Fast Data Choices: 5 Strategies for Evaluating Alternative Business and Techn...VoltDB
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.
The document discusses using a security data lake built on a big data platform to improve cyber defense visibility and analytics capabilities. It notes that traditional SIEM tools have limitations in scalability and openness that can be addressed using Hadoop and related big data technologies. Examples are given of how security data lakes can optimize SIEM systems by enabling greater data volumes, processing power, and analytics flexibility in a more cost effective and deployment flexible manner. The presentation concludes by describing Softnix's security data lake product and its capabilities for data collection, enrichment, analysis, search, and visualization.
Lessons Learned: The Impact of Fast Data for PersonalizationVoltDB
deltaDNA is leader in personalization, having honed their knowledge and skills in one of the most competitive and demanding markets: online gaming. In this Webinar, Chris Wright, deltaDNA’s CTO, joins VoltDB CMO, Peter Vescuso to explain how capturing and understanding data “in the moment” has enabled Chris to reduce margins, increase monetization, and understand his customers as well as provide the ability to react to them in real time.
Lambda-B-Gone: In-memory Case Study for Faster, Smarter and Simpler AnswersVoltDB
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.
Building the Next-gen Digital Meter Platform for FluviusDatabricks
Fluvius is the network operator for electricity and gas in Flanders, Belgium. Their goal is to modernize the way people look at energy consumption using a digital meter that captures consumption and injection data from any electrical installation in Flanders ranging from households to large companies. After full roll-out there will be roughly 7 million digital meters active in Flanders collecting up to terabytes of data per day. Combine this with regulation that Fluvius has to maintain a record of these reading for at least 3 years, we are talking petabyte scale. delaware BeLux was assigned by Fluvius to setup a modern data platform and did so on Azure using Databricks as the core component to collect, store, process and serve these volumes of data to every single consumer and beyond in Flanders. This enables the Belgian energy market to innovate and move forward. Maarten took up the role as project manager and solution architect.
Dev Lakhani, Data Scientist at Batch Insights "Real Time Big Data Applicatio...Dataconomy Media
Dev Lakhani, Data Scientist at Batch Insights talks on "Real Time Big Data Applications for Investment Banks and Financial Institutions" at the first Big Data Frankfurt event that took place at Die Zentrale, organised by Dataconomy Media
GraphTalks Stuttgart - Einführung in Graphdatenbanken und Neo4jNeo4j
This document provides an agenda for the Neo4j GraphTalks event. The agenda includes:
- Breakfast and networking from 09:00-09:30.
- An introduction to graph databases and Neo4j from 09:30-10:00 by Bruno Ungermann from Neo4j.
- A presentation on semantic data management from 10:00-11:00 by Dr. Andreas Weber from semantic PDM.
- A presentation on how to make graph database projects successful from 11:00-11:30 by Stefan Kolmar from Neo4j.
- An open discussion from 11:30 onward moderated by Alexander Erdl from Neo4j
In the world of big data, legacy modernization, siloed organizations, empowered customers, and mobile devices, making informed choices about your enterprise infrastructure has become more important than ever. The alternatives are abundant, and the successful Enterprise Architect must constantly discern which new technology is just a shiny object and which will add true business value.
Don't Let Your Shoppers Drop; 5 Rules for Today’s eCommerceDataStax
The definition of eCommerce has totally changed, expanding from a purely retail perspective to mean "the place where your customers meet you online." Whether you offer mortgage services or catering recommendations, you must think of your online transaction application as an eCommerce site.
At the Technology Trends seminar, with HCMC University of Polytechnics' lecturers, KMS Technology's CTO delivered a topic of Big Data, Cloud Computing, Mobile, Social Media and In-memory Computing.
The document discusses how the mainframe remains relevant despite predictions that it would become obsolete. It provides examples of how the mainframe continues to process a large volume of transactions and data efficiently. It then summarizes IBM's DevOps solutions for modernizing mainframe development and discusses how technologies like blockchain, analytics and APIs can help expose mainframe capabilities and drive innovation.
Webinar: Achieving Customer Centricity and High Margins in Financial Services...MongoDB
It is imperative that Financial Services firms align the organization around providing maximum value to customers across all channels and products with the agility to capitalize on new opportunities. They must do this at the same time as cutting costs, improving operational efficiency, and complying with current and future regulations. This effort is commonly referred to as Industrialization, or streamlining people, process, and technology for maximum customer value, service, and efficiency.
MongoDB can help you in this initiative by allowing you to centralize data management no matter how it is structured across channels and products and make it easy to aggregate data from multiple systems, while lowering TCO and delivering applications faster. MetLife publicly announced that they used MongoDB to enable a single view of the customer in 3 months across 70+ existing systems. We will explore case studies demonstrating these capabilities to help you industrialize your firm.
Key takeaways:
Unique capabilities, brought to you by MongoDB
Concrete use cases that help industrialization
Implementation case studies, to pave the way
Real World Use Cases and Success Stories for In-Memory Data Grids (TIBCO Acti...Kai Wähner
Kai Wähner is a technical lead who discusses in-memory computing and real-world use cases. In-memory computing uses memory for data storage and processing to enable acting in real-time. It offers benefits like eventing, fault tolerance, and high performance beyond traditional caching. Examples where in-memory computing has been applied include personalized customer experiences, routing messages, handling spikes in data, and storing stateful enterprise application data.
How Cloud Providers are Playing with Traditional Data CenterHostway|HOSTING
The keynote presentation discusses how cloud providers are impacting traditional data centers. It notes that as companies grow from startups to established enterprises, their hosting needs change from fully public cloud to hybrid models. The presentation outlines the tradeoffs of different hosting options like owning your own data center, colocation, managed hosting, and public cloud. It argues that a hybrid multi-cloud approach combining on-premises, dedicated, managed, public and other specialty clouds provides the most flexibility, cost savings, and ability to put the right workload in the right environment. Case studies are presented showing how hybrid cloud delivered major cost reductions and performance gains for Explore.org and enabled critical security and compliance requirements for Samsung. The presentation concludes that
Webinar: How Financial Services Organizations Use MongoDBMongoDB
This document discusses how MongoDB can be used across various use cases in financial services. It provides examples of how MongoDB has been used by companies for tasks like data consolidation, reference data distribution, and tick data capture and management. Its flexible data model and horizontal scalability allow consolidating disparate data sources in real-time and distributing reference data globally. It also enables cost-effective solutions for high-volume workloads like tick data processing.
Introduction for Embedding Infobright for OEMsInfobright
This document discusses how Infobright's analytic database platform can help solution providers address challenges around increasing data volumes and analytics demands. It highlights Infobright's columnar architecture and knowledge grid technology which provides fast loading, high compression rates, and rapid query performance to help solution providers scale their offerings. Examples are given of customers like JDS Uniphase and Polystar who were able to improve loading speeds, data retention, query speeds and reduce costs by embedding Infobright.
"An introduction to Kx Technology - a Big Data solution", Kyra Coyne, Data Sc...Dataconomy Media
Kx Technology is an in-memory columnar database and programming system that is highly optimized for real-time streaming and historical time-series data analytics. It provides extreme performance at low latency and can scale to process massive data volumes without significant infrastructure. Kx has been widely adopted over two decades in the financial services industry for applications like market surveillance, risk management, and quantitative research.
This document discusses how big data can be used for smart cities. It provides three use cases: 1) social media and sentiment analysis to analyze opinions on topics, 2) retail analytics and recommendation engines to predict customer product preferences, and 3) security and risk management using machine learning to detect fraud patterns. It also discusses optimizing data warehouses to improve data services while reducing costs. Big data systems like Hadoop and Spark are introduced for large-scale storage and processing.
My perspective on the evolution of big data from the perspective of a distributed systems researcher & engineer -- the background of how it get started, the scale-out paradigm, industry use cases, open source development paradigm, and interesting future challenges.
How to Integrate Hyperconverged Systems with Existing SANsDataCore Software
Hyperconverged systems offer a great deal of promise and yet come with a set of limitations.
While they allow enterprises to re-integrate system components into a single enclosure and reduce the physical complexity, floor space and cost of supporting a workload in the data center, they also often will not support existing storage in local SANs or offered by cloud service providers.
However, there are solutions available to address these challenges and allow hyperconverged systems to realize their promise. Sign up to discover:
• What are hyperconverged systems?
• What challenges do they pose?
• What should the ideal solution to those challenges look like?
• A solution that helps integrate hyperconverged systems with existing SANs
Neo4j GraphTalks - Introduction to GraphDatabases and Neo4jNeo4j
This document provides an overview of graph databases and Neo4j. It discusses how graph databases are well-suited for dynamic systems where relationships are important. Neo4j is introduced as a native graph database that is highly scalable and allows organizations to leverage connections in data. Examples are given of companies using Neo4j for applications like recommendations, fraud detection, and network management. Neo4j is presented as an enterprise-ready solution with features like ACID transactions, security, and support for popular languages.
The document discusses the top 5 technologies that all organizations must understand: digital transformation, quantum computing, IoT, 5G, and AI/HPC. It provides an overview of each technology including opportunities and threats to organizations. The document emphasizes that understanding these emerging technologies is mandatory as the information revolution changes many aspects of life and business.
Preparing to program Aurora at Exascale - Early experiences and future direct...inside-BigData.com
In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions.
"Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms.
This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems."
Watch the video: https://wp.me/p3RLHQ-lPT
Learn more: https://www.iwocl.org/iwocl-2020/conference-program/
and
https://www.anl.gov/topic/aurora
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In this deck, Greg Wahl from Advantech presents: Transforming Private 5G Networks.
Advantech Networks & Communications Group is driving innovation in next-generation network solutions with their High Performance Servers. We provide business critical hardware to the world's leading telecom and networking equipment manufacturers with both standard and customized products. Our High Performance Servers are highly configurable platforms designed to balance the best in x86 server-class processing performance with maximum I/O and offload density. The systems are cost effective, highly available and optimized to meet next generation networking and media processing needs.
“Advantech’s Networks and Communication Group has been both an innovator and trusted enabling partner in the telecommunications and network security markets for over a decade, designing and manufacturing products for OEMs that accelerate their network platform evolution and time to market.” Said Advantech Vice President of Networks & Communications Group, Ween Niu. “In the new IP Infrastructure era, we will be expanding our expertise in Software Defined Networking (SDN) and Network Function Virtualization (NFV), two of the essential conduits to 5G infrastructure agility making networks easier to install, secure, automate and manage in a cloud-based infrastructure.”
In addition to innovation in air interface technologies and architecture extensions, 5G will also need a new generation of network computing platforms to run the emerging software defined infrastructure, one that provides greater topology flexibility, essential to deliver on the promises of high availability, high coverage, low latency and high bandwidth connections. This will open up new parallel industry opportunities through dedicated 5G network slices reserved for specific industries dedicated to video traffic, augmented reality, IoT, connected cars etc. 5G unlocks many new doors and one of the keys to its enablement lies in the elasticity and flexibility of the underlying infrastructure.
Advantech’s corporate vision is to enable an intelligent planet. The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence."
Watch the video: https://wp.me/p3RLHQ-lPQ
* Company website: https://www.advantech.com/
* Solution page: https://www2.advantech.com/nc/newsletter/NCG/SKY/benefits.html
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The Incorporation of Machine Learning into Scientific Simulations at Lawrence...inside-BigData.com
In this deck from the Stanford HPC Conference, Katie Lewis from Lawrence Livermore National Laboratory presents: The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory.
"Scientific simulations have driven computing at Lawrence Livermore National Laboratory (LLNL) for decades. During that time, we have seen significant changes in hardware, tools, and algorithms. Today, data science, including machine learning, is one of the fastest growing areas of computing, and LLNL is investing in hardware, applications, and algorithms in this space. While the use of simulations to focus and understand experiments is well accepted in our community, machine learning brings new challenges that need to be addressed. I will explore applications for machine learning in scientific simulations that are showing promising results and further investigation that is needed to better understand its usefulness."
Watch the video: https://youtu.be/NVwmvCWpZ6Y
Learn more: https://computing.llnl.gov/research-area/machine-learning
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...inside-BigData.com
In this deck from the Stanford HPC Conference, DK Panda from Ohio State University presents: How to Achieve High-Performance, Scalable and Distributed DNN Training on Modern HPC Systems?
"This talk will start with an overview of challenges being faced by the AI community to achieve high-performance, scalable and distributed DNN training on Modern HPC systems with both scale-up and scale-out strategies. After that, the talk will focus on a range of solutions being carried out in my group to address these challenges. The solutions will include: 1) MPI-driven Deep Learning, 2) Co-designing Deep Learning Stacks with High-Performance MPI, 3) Out-of- core DNN training, and 4) Hybrid (Data and Model) parallelism. Case studies to accelerate DNN training with popular frameworks like TensorFlow, PyTorch, MXNet and Caffe on modern HPC systems will be presented."
Watch the video: https://youtu.be/LeUNoKZVuwQ
Learn more: http://web.cse.ohio-state.edu/~panda.2/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...inside-BigData.com
In this deck from the Stanford HPC Conference, Nick Nystrom and Paola Buitrago provide an update from the Pittsburgh Supercomputing Center.
Nick Nystrom is Chief Scientist at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence of HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics.
Watch the video: https://youtu.be/LWEU1L1o7yY
Learn more: https://www.psc.edu/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
The document discusses using systems intelligence and artificial intelligence/neural networks to enhance semiconductor electronic design automation (EDA) workflows by collecting telemetry data from EDA jobs and infrastructure and analyzing it using complex event processing, machine learning models, and messaging substrates to provide insights that could optimize EDA pipelines and infrastructure. The approach aims to allow both internal and external augmentation of EDA processes and environments through unsupervised and incremental learning.
Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoringinside-BigData.com
In this deck from the Stanford HPC Conference, Nicole Xu from Stanford University describes how she transformed a common jellyfish into a bionic creature that is part animal and part machine.
"Animal locomotion and bioinspiration have the potential to expand the performance capabilities of robots, but current implementations are limited. Mechanical soft robots leverage engineered materials and are highly controllable, but these biomimetic robots consume more power than corresponding animal counterparts. Biological soft robots from a bottom-up approach offer advantages such as speed and controllability but are limited to survival in cell media. Instead, biohybrid robots that comprise live animals and self- contained microelectronic systems leverage the animals’ own metabolism to reduce power constraints and body as an natural scaffold with damage tolerance. We demonstrate that by integrating onboard microelectronics into live jellyfish, we can enhance propulsion up to threefold, using only 10 mW of external power input to the microelectronics and at only a twofold increase in cost of transport to the animal. This robotic system uses 10 to 1000 times less external power per mass than existing swimming robots in literature and can be used in future applications for ocean monitoring to track environmental changes."
Watch the video: https://youtu.be/HrmJFyvInj8
Learn more: https://sanfrancisco.cbslocal.com/2020/02/05/stanford-research-project-common-jellyfish-bionic-sea-creatures/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from the Stanford HPC Conference, Peter Dueben from the European Centre for Medium-Range Weather Forecasts (ECMWF) presents: Machine Learning for Weather Forecasts.
"I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future."
Peter is contributing to the development and optimization of weather and climate models for modern supercomputers. He is focusing on a better understanding of model error and model uncertainty, on the use of reduced numerical precision that is optimised for a given level of model error, on global cloud- resolving simulations with ECMWF's forecast model, and the use of machine learning, and in particular deep learning, to improve the workflow and predictions. Peter has graduated in Physics and wrote his PhD thesis at the Max Planck Institute for Meteorology in Germany. He worked as Postdoc with Tim Palmer at the University of Oxford and has taken up a position as University Research Fellow of the Royal Society at the European Centre for Medium-Range Weather Forecasts (ECMWF) in 2017.
Watch the video: https://youtu.be/ks3fkRj8Iqc
Learn more: https://www.ecmwf.int/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck, Gilad Shainer from the HPC AI Advisory Council describes how this organization fosters innovation in the high performance computing community.
"The HPC-AI Advisory Council’s mission is to bridge the gap between high-performance computing (HPC) and Artificial Intelligence (AI) use and its potential, bring the beneficial capabilities of HPC and AI to new users for better research, education, innovation and product manufacturing, bring users the expertise needed to operate HPC and AI systems, provide application designers with the tools needed to enable parallel computing, and to strengthen the qualification and integration of HPC and AI system products."
Watch the video: https://wp.me/p3RLHQ-lNz
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Today RIKEN in Japan announced that the Fugaku supercomputer will be made available for research projects aimed to combat COVID-19.
"Fugaku is currently being installed and is scheduled to be available to the public in 2021. However, faced with the devastating disaster unfolding before our eyes, RIKEN and MEXT decided to make a portion of the computational resources of Fugaku available for COVID-19-related projects ahead of schedule while continuing the installation process.
Fugaku is being developed not only for the progress in science, but also to help build the society dubbed as the “Society 5.0” by the Japanese government, where all people will live safe and comfortable lives. The current initiative to fight against the novel coronavirus is driven by the philosophy behind the development of Fugaku."
Initial Projects
Exploring new drug candidates for COVID-19 by "Fugaku"
Yasushi Okuno, RIKEN / Kyoto University
Prediction of conformational dynamics of proteins on the surface of SARS-Cov-2 using Fugaku
Yuji Sugita, RIKEN
Simulation analysis of pandemic phenomena
Nobuyasu Ito, RIKEN
Fragment molecular orbital calculations for COVID-19 proteins
Yuji Mochizuki, Rikkyo University
In this deck from the Performance Optimisation and Productivity group, Lubomir Riha from IT4Innovations presents: Energy Efficient Computing using Dynamic Tuning.
"We now live in a world of power-constrained architectures and systems and power consumption represents a significant cost factor in the overall HPC system economy. For these reasons, in recent years researchers, supercomputing centers and major vendors have developed new tools and methodologies to measure and optimize the energy consumption of large-scale high performance system installations. Due to the link between energy consumption, power consumption and execution time of an application executed by the final user, it is important for these tools and the methodology used to consider all these aspects, empowering the final user and the system administrator with the capability of finding the best configuration given different high level objectives.
This webinar focused on tools designed to improve the energy-efficiency of HPC applications using a methodology of dynamic tuning of HPC applications, developed under the H2020 READEX project. The READEX methodology has been designed for exploiting the dynamic behaviour of software. At design time, different runtime situations (RTS) are detected and optimized system configurations are determined. RTSs with the same configuration are grouped into scenarios, forming the tuning model. At runtime, the tuning model is used to switch system configurations dynamically.
The MERIC tool, that implements the READEX methodology, is presented. It supports manual or binary instrumentation of the analysed applications to simplify the analysis. This instrumentation is used to identify and annotate the significant regions in the HPC application. Automatic binary instrumentation annotates regions with significant runtime. Manual instrumentation, which can be combined with automatic, allows code developer to annotate regions of particular interest."
Watch the video: https://wp.me/p3RLHQ-lJP
Learn more: https://pop-coe.eu/blog/14th-pop-webinar-energy-efficient-computing-using-dynamic-tuning
and
https://code.it4i.cz/vys0053/meric
Sign up for our insideHPC Newsletter: http://insidehpc.com/newslett
The document discusses how DDN A3I storage solutions and Nvidia's SuperPOD platform can enable HPC at scale. It provides details on DDN's A3I appliances that are optimized for AI and deep learning workloads and validated for Nvidia's DGX-2 SuperPOD reference architecture. The solutions are said to deliver the fastest performance, effortless scaling, reliability and flexibility for data-intensive workloads.
In this deck, Paul Isaacs from Linaro presents: State of ARM-based HPC. This talk provides an overview of applications and infrastructure services successfully ported to Aarch64 and benefiting from scale.
"With its debut on the TOP500, the 125,000-core Astra supercomputer at New Mexico’s Sandia Labs uses Cavium ThunderX2 chips to mark Arm’s entry into the petascale world. In Japan, the Fujitsu A64FX Arm-based CPU in the pending Fugaku supercomputer has been optimized to achieve high-level, real-world application performance, anticipating up to one hundred times the application execution performance of the K computer. K was the first computer to top 10 petaflops in 2011."
Watch the video: https://wp.me/p3RLHQ-lIT
Learn more: https://www.linaro.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Versal Premium ACAP for Network and Cloud Accelerationinside-BigData.com
Today Xilinx announced Versal Premium, the third series in the Versal ACAP portfolio. The Versal Premium series features highly integrated, networked and power-optimized cores and the industry’s highest bandwidth and compute density on an adaptable platform. Versal Premium is designed for the highest bandwidth networks operating in thermally and spatially constrained environments, as well as for cloud providers who need scalable, adaptable application acceleration.
Versal is the industry’s first adaptive compute acceleration platform (ACAP), a revolutionary new category of heterogeneous compute devices with capabilities that far exceed those of conventional silicon architectures. Developed on TSMC’s 7-nanometer process technology, Versal Premium combines software programmability with dynamically configurable hardware acceleration and pre-engineered connectivity and security features to enable a faster time-to- market. The Versal Premium series delivers up to 3X higher throughput compared to current generation FPGAs, with built-in Ethernet, Interlaken, and cryptographic engines that enable fast and secure networks. The series doubles the compute density of currently deployed mainstream FPGAs and provides the adaptability to keep pace with increasingly diverse and evolving cloud and networking workloads.
Learn more: https://insidehpc.com/2020/03/xilinx-announces-versal-premium-acap-for-network-and-cloud-acceleration/
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Zettar: Moving Massive Amounts of Data across Any Distance Efficientlyinside-BigData.com
In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently.
The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined.
Watch the video: https://wp.me/p3RLHQ-lBX
Learn more: https://www.zettar.com/
and
https://rice2020oghpc.rice.edu/program-2/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from the Rice Oil & Gas Conference, Bradley McCredie from AMD presents: Scaling TCO in a Post Moore's Law Era.
"While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications. Finally, open software frameworks, APIs, and toolsets will enable broad ecosystems of application level innovation."
Watch the video:
Learn more: http://amd.com
and
https://rice2020oghpc.rice.edu/program-2/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
CUDA-Python and RAPIDS for blazing fast scientific computinginside-BigData.com
In this deck from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing.
"We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started. Finally, we will briefly highlight several other relevant libraries for GPU programming."
Watch the video: https://wp.me/p3RLHQ-lvu
Learn more: https://developer.nvidia.com/rapids
and
https://www.xsede.org/for-users/ecss/ecss-symposium
Sign up for our insideHPC Newsletter: http://insidehp.com/newsletter
In this deck from FOSDEM 2020, Colin Sauze from Aberystwyth University describes the development of a RaspberryPi cluster for teaching an introduction to HPC.
"The motivation for this was to overcome four key problems faced by new HPC users:
* The availability of a real HPC system and the effect running training courses can have on the real system, conversely the availability of spare resources on the real system can cause problems for the training course.
* A fear of using a large and expensive HPC system for the first time and worries that doing something wrong might damage the system.
* That HPC systems are very abstract systems sitting in data centres that users never see, it is difficult for them to understand exactly what it is they are using.
* That new users fail to understand resource limitations, in part because of the vast resources in modern HPC systems a lot of mistakes can be made before running out of resources. A more resource constrained system makes it easier to understand this.
The talk will also discuss some of the technical challenges in deploying an HPC environment to a Raspberry Pi and attempts to keep that environment as close to a "real" HPC as possible. The issue to trying to automate the installation process will also be covered."
Learn more: https://github.com/colinsauze/pi_cluster
and
https://fosdem.org/2020/schedule/events/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from ATPESC 2019, Ken Raffenetti from Argonne presents an overview of HPC interconnects.
"The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future."
Watch the video: https://wp.me/p3RLHQ-luc
Learn more: https://extremecomputingtraining.anl.gov/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
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• Join a webinar to learn more
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Go to: parallelcomputingsolutions.com