Introduction to Hortonworks Data Platform for WindowsHortonworks
According to IDC, Windows Servers run more than 50% of the servers in the Enterprise Data Center. Hortonworks has worked closely with Microsoft to port Apache Hadoop to Windows to enable organizations to take advantage of this emerging Big Data technology. Join us in this informative webinar to hear about the new Hortonworks Data Platform for Windows.
In less than an hour, you’ll learn:
-Key capabilities available in Hortonworks Data Platform for Windows
-How HDP for Windows integrates with Microsoft tools
-Key workloads and use cases for driving Hadoop today
Talend Open Studio and Hortonworks Data PlatformHortonworks
Data Integration is a key step in a Hadoop solution architecture. It is the first obstacle encountered once your cluster is up and running. OK, I have a cluster…now what? Complex scripts? For wide scale adoption of Apache Hadoop, an intuitive set of tools that abstract away the complexity of integration is necessary.
Introduction to Hortonworks Data Platform for WindowsHortonworks
According to IDC, Windows Servers run more than 50% of the servers in the Enterprise Data Center. Hortonworks has worked closely with Microsoft to port Apache Hadoop to Windows to enable organizations to take advantage of this emerging Big Data technology. Join us in this informative webinar to hear about the new Hortonworks Data Platform for Windows.
In less than an hour, you’ll learn:
-Key capabilities available in Hortonworks Data Platform for Windows
-How HDP for Windows integrates with Microsoft tools
-Key workloads and use cases for driving Hadoop today
Talend Open Studio and Hortonworks Data PlatformHortonworks
Data Integration is a key step in a Hadoop solution architecture. It is the first obstacle encountered once your cluster is up and running. OK, I have a cluster…now what? Complex scripts? For wide scale adoption of Apache Hadoop, an intuitive set of tools that abstract away the complexity of integration is necessary.
Join Cloudian, Hortonworks and 451 Research for a panel-style Q&A discussion about the latest trends and technology innovations in Big Data and Analytics. Matt Aslett, Data Platforms and Analytics Research Director at 451 Research, John Kreisa, Vice President of Strategic Marketing at Hortonworks, and Paul Turner, Chief Marketing Officer at Cloudian, will answer your toughest questions about data storage, data analytics, log data, sensor data and the Internet of Things. Bring your questions or just come and listen!
The Next Generation of Big Data AnalyticsHortonworks
Apache Hadoop has evolved rapidly to become a leading platform for managing and processing big data. If your organization is examining how you can use Hadoop to store, transform, and refine large volumes of multi-structured data, please join us for this session where we will discuss, the emergence of "big data" and opportunities for deriving business value, the evolution of Apache Hadoop and future directions, essential components required in a Hadoop-powered platform, and solution architectures that integrate Hadoop with existing data discovery and data warehouse platforms.
Enterprise Apache Hadoop: State of the UnionHortonworks
So what's in store for 2014? This deck was from Shaun Connolly's (VP of Strategy, Hortonworks) State of the Union webinar.
In this deck, you'll find:
- Reflection on Enterprise Hadoop Market in 2013
- The latest releases and innovations within the open source community
- Highlights of what's in store for Apache Hadoop and Big Data in 2014
Slides from the joint webinar. Learn how Pivotal HAWQ, one of the world’s most advanced enterprise SQL on Hadoop technology, coupled with the Hortonworks Data Platform, the only 100% open source Apache Hadoop data platform, can turbocharge your Data Science efforts.
Together, Pivotal HAWQ and the Hortonworks Data Platform provide businesses with a Modern Data Architecture for IT transformation.
Big Data, Hadoop, Hortonworks and Microsoft HDInsightHortonworks
Big Data is everywhere. And at the center of the big data discussion is Apache Hadoop, a next-generation enterprise data platform that allows you to capture, process and share the enormous amounts of new, multi-structured data that doesn’t fit into transitional systems.
With Microsoft HDInsight, powered by Hortonworks Data Platform, you can bridge this new world of unstructured content with the structured data we manage today. Together, we bring Hadoop to the masses as an addition to your current enterprise data architectures so that you can amass net new insight without net new headache.
EDW Optimization: A Modern Twist on an Old FavoriteHortonworks
BI and Big Data veterans Carter Shanklin, Sr. Director of Product at Hortonworks and Josh Klahr,, VP of Product at AtScale will deliver this interactive session covering insights, real-world experiences, and answering questions from the online audience. They’ll share real customer stories across industries and pain points to bring to life how you can use EDW Optimization today to drive insights across any and all of your enterprise data – quickly, simply, securely, and widely.
Oracle's BigData solutions consist of a number of new products and solutions to support customers looking to gain maximum business value from data sets such as weblogs, social media feeds, smart meters, sensors and other devices that generate massive volumes of data (commonly defined as ‘Big Data’) that isn’t readily accessible in enterprise data warehouses and business intelligence applications today.
Mr. Slim Baltagi is a Systems Architect at Hortonworks, with over 4 years of Hadoop experience working on 9 Big Data projects: Advanced Customer Analytics, Supply Chain Analytics, Medical Coverage Discovery, Payment Plan Recommender, Research Driven Call List for Sales, Prime Reporting Platform, Customer Hub, Telematics, Historical Data Platform; with Fortune 100 clients and global companies from Financial Services, Insurance, Healthcare and Retail.
Mr. Slim Baltagi has worked in various architecture, design, development and consulting roles at.
Accenture, CME Group, TransUnion, Syntel, Allstate, TransAmerica, Credit Suisse, Chicago Board Options Exchange, Federal Reserve Bank of Chicago, CNA, Sears, USG, ACNielsen, Deutshe Bahn.
Mr. Baltagi has also over 14 years of IT experience with an emphasis on full life cycle development of Enterprise Web applications using Java and Open-Source software. He holds a master’s degree in mathematics and is an ABD in computer science from Université Laval, Québec, Canada.
Languages: Java, Python, JRuby, JEE , PHP, SQL, HTML, XML, XSLT, XQuery, JavaScript, UML, JSON
Databases: Oracle, MS SQL Server, MYSQL, PostreSQL
Software: Eclipse, IBM RAD, JUnit, JMeter, YourKit, PVCS, CVS, UltraEdit, Toad, ClearCase, Maven, iText, Visio, Japser Reports, Alfresco, Yslow, Terracotta, Toad, SoapUI, Dozer, Sonar, Git
Frameworks: Spring, Struts, AppFuse, SiteMesh, Tiles, Hibernate, Axis, Selenium RC, DWR Ajax , Xstream
Distributed Computing/Big Data: Hadoop, MapReduce, HDFS, Hive, Pig, Sqoop, HBase, R, RHadoop, Cloudera CDH4, MapR M7, Hortonworks HDP 2.1
The Value of the Modern Data Architecture with Apache Hadoop and Teradata Hortonworks
This webinar discusses why Apache Hadoop most typically the technology underpinning "Big Data". How it fits in a modern data architecture and the current landscape of databases and data warehouses that are already in use.
IDC Retail Insights - What's Possible with a Modern Data Architecture?Hortonworks
This is Greg Girard's presentation from the September 22, 2014 Hortonworks webinar “What’s Possible with a Modern Data Architecture?”. Greg is program director for omni-channel analytics strategies at IDC Retail Insights. He provides targeted, fact-based guidance to retailers for the application of analytics across the enterprise.
Hortonworks and Red Hat Webinar - Part 2Hortonworks
Learn more about creating reference architectures that optimize the delivery the Hortonworks Data Platform. You will hear more about Hive, JBoss Data Virtualization Security, and you will also see in action how to combine sentiment data from Hadoop with data from traditional relational sources.
Join Objectivity, Inc.’s VP of Product Management, Brian Clark, in a discussion of the latest trends in Big Data Analytics, defining what is Big Data and understanding how to maximize your existing architectures by utilizing NOSQL technologies to improve functionality and provide real-time results. There will be a focus on relationship analytics as well as an introduction to NOSQL data stores, object and graph databases, such as the architecture behind Objectivity/DB and InfiniteGraph.
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
Explores the notion of "Hadoop as a Data Refinery" within an organisation, be it one with an existing Business Intelligence system or none - looks at 'agile data' as a a benefit of using Hadoop as the store for historical, unstructured and very-large-scale datasets.
The final slides look at the challenge of an organisation becoming "data driven"
Hadoop as Data Refinery - Steve LoughranJAX London
Apache Hadoop is often described as a "Big Data Platform" but what does that mean? One way to better understand Hadoop is to talk about how Hadoop is used. This talk discusses using Hadoop as a "Data Refinery", which is a common use case. The concept is very much like a traditional oil refinery except with data, pulling in large quantities of "crude data" over pipelines, refining some into useful business intelligence; refining other pieces into slightly less crude data that stays in the cluster until needed later. This metaphor proves useful when considering how Hadoop could be adopted in an organisation that already has data warehousing and business intelligence systems -and when contemplating how to hook up a Hadoop cluster to the sources of data inside and outside that organisation. A key point to remember is that storing data in Hadoop is not a means to an end any more than storing data in a database is: it is extracting information from that data. Using Hadoop as a front end "data refinery" means that it can integrate with existing Business Intelligence systems, while providing the platform for new applications.
Join Cloudian, Hortonworks and 451 Research for a panel-style Q&A discussion about the latest trends and technology innovations in Big Data and Analytics. Matt Aslett, Data Platforms and Analytics Research Director at 451 Research, John Kreisa, Vice President of Strategic Marketing at Hortonworks, and Paul Turner, Chief Marketing Officer at Cloudian, will answer your toughest questions about data storage, data analytics, log data, sensor data and the Internet of Things. Bring your questions or just come and listen!
The Next Generation of Big Data AnalyticsHortonworks
Apache Hadoop has evolved rapidly to become a leading platform for managing and processing big data. If your organization is examining how you can use Hadoop to store, transform, and refine large volumes of multi-structured data, please join us for this session where we will discuss, the emergence of "big data" and opportunities for deriving business value, the evolution of Apache Hadoop and future directions, essential components required in a Hadoop-powered platform, and solution architectures that integrate Hadoop with existing data discovery and data warehouse platforms.
Enterprise Apache Hadoop: State of the UnionHortonworks
So what's in store for 2014? This deck was from Shaun Connolly's (VP of Strategy, Hortonworks) State of the Union webinar.
In this deck, you'll find:
- Reflection on Enterprise Hadoop Market in 2013
- The latest releases and innovations within the open source community
- Highlights of what's in store for Apache Hadoop and Big Data in 2014
Slides from the joint webinar. Learn how Pivotal HAWQ, one of the world’s most advanced enterprise SQL on Hadoop technology, coupled with the Hortonworks Data Platform, the only 100% open source Apache Hadoop data platform, can turbocharge your Data Science efforts.
Together, Pivotal HAWQ and the Hortonworks Data Platform provide businesses with a Modern Data Architecture for IT transformation.
Big Data, Hadoop, Hortonworks and Microsoft HDInsightHortonworks
Big Data is everywhere. And at the center of the big data discussion is Apache Hadoop, a next-generation enterprise data platform that allows you to capture, process and share the enormous amounts of new, multi-structured data that doesn’t fit into transitional systems.
With Microsoft HDInsight, powered by Hortonworks Data Platform, you can bridge this new world of unstructured content with the structured data we manage today. Together, we bring Hadoop to the masses as an addition to your current enterprise data architectures so that you can amass net new insight without net new headache.
EDW Optimization: A Modern Twist on an Old FavoriteHortonworks
BI and Big Data veterans Carter Shanklin, Sr. Director of Product at Hortonworks and Josh Klahr,, VP of Product at AtScale will deliver this interactive session covering insights, real-world experiences, and answering questions from the online audience. They’ll share real customer stories across industries and pain points to bring to life how you can use EDW Optimization today to drive insights across any and all of your enterprise data – quickly, simply, securely, and widely.
Oracle's BigData solutions consist of a number of new products and solutions to support customers looking to gain maximum business value from data sets such as weblogs, social media feeds, smart meters, sensors and other devices that generate massive volumes of data (commonly defined as ‘Big Data’) that isn’t readily accessible in enterprise data warehouses and business intelligence applications today.
Mr. Slim Baltagi is a Systems Architect at Hortonworks, with over 4 years of Hadoop experience working on 9 Big Data projects: Advanced Customer Analytics, Supply Chain Analytics, Medical Coverage Discovery, Payment Plan Recommender, Research Driven Call List for Sales, Prime Reporting Platform, Customer Hub, Telematics, Historical Data Platform; with Fortune 100 clients and global companies from Financial Services, Insurance, Healthcare and Retail.
Mr. Slim Baltagi has worked in various architecture, design, development and consulting roles at.
Accenture, CME Group, TransUnion, Syntel, Allstate, TransAmerica, Credit Suisse, Chicago Board Options Exchange, Federal Reserve Bank of Chicago, CNA, Sears, USG, ACNielsen, Deutshe Bahn.
Mr. Baltagi has also over 14 years of IT experience with an emphasis on full life cycle development of Enterprise Web applications using Java and Open-Source software. He holds a master’s degree in mathematics and is an ABD in computer science from Université Laval, Québec, Canada.
Languages: Java, Python, JRuby, JEE , PHP, SQL, HTML, XML, XSLT, XQuery, JavaScript, UML, JSON
Databases: Oracle, MS SQL Server, MYSQL, PostreSQL
Software: Eclipse, IBM RAD, JUnit, JMeter, YourKit, PVCS, CVS, UltraEdit, Toad, ClearCase, Maven, iText, Visio, Japser Reports, Alfresco, Yslow, Terracotta, Toad, SoapUI, Dozer, Sonar, Git
Frameworks: Spring, Struts, AppFuse, SiteMesh, Tiles, Hibernate, Axis, Selenium RC, DWR Ajax , Xstream
Distributed Computing/Big Data: Hadoop, MapReduce, HDFS, Hive, Pig, Sqoop, HBase, R, RHadoop, Cloudera CDH4, MapR M7, Hortonworks HDP 2.1
The Value of the Modern Data Architecture with Apache Hadoop and Teradata Hortonworks
This webinar discusses why Apache Hadoop most typically the technology underpinning "Big Data". How it fits in a modern data architecture and the current landscape of databases and data warehouses that are already in use.
IDC Retail Insights - What's Possible with a Modern Data Architecture?Hortonworks
This is Greg Girard's presentation from the September 22, 2014 Hortonworks webinar “What’s Possible with a Modern Data Architecture?”. Greg is program director for omni-channel analytics strategies at IDC Retail Insights. He provides targeted, fact-based guidance to retailers for the application of analytics across the enterprise.
Hortonworks and Red Hat Webinar - Part 2Hortonworks
Learn more about creating reference architectures that optimize the delivery the Hortonworks Data Platform. You will hear more about Hive, JBoss Data Virtualization Security, and you will also see in action how to combine sentiment data from Hadoop with data from traditional relational sources.
Join Objectivity, Inc.’s VP of Product Management, Brian Clark, in a discussion of the latest trends in Big Data Analytics, defining what is Big Data and understanding how to maximize your existing architectures by utilizing NOSQL technologies to improve functionality and provide real-time results. There will be a focus on relationship analytics as well as an introduction to NOSQL data stores, object and graph databases, such as the architecture behind Objectivity/DB and InfiniteGraph.
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
Explores the notion of "Hadoop as a Data Refinery" within an organisation, be it one with an existing Business Intelligence system or none - looks at 'agile data' as a a benefit of using Hadoop as the store for historical, unstructured and very-large-scale datasets.
The final slides look at the challenge of an organisation becoming "data driven"
Hadoop as Data Refinery - Steve LoughranJAX London
Apache Hadoop is often described as a "Big Data Platform" but what does that mean? One way to better understand Hadoop is to talk about how Hadoop is used. This talk discusses using Hadoop as a "Data Refinery", which is a common use case. The concept is very much like a traditional oil refinery except with data, pulling in large quantities of "crude data" over pipelines, refining some into useful business intelligence; refining other pieces into slightly less crude data that stays in the cluster until needed later. This metaphor proves useful when considering how Hadoop could be adopted in an organisation that already has data warehousing and business intelligence systems -and when contemplating how to hook up a Hadoop cluster to the sources of data inside and outside that organisation. A key point to remember is that storing data in Hadoop is not a means to an end any more than storing data in a database is: it is extracting information from that data. Using Hadoop as a front end "data refinery" means that it can integrate with existing Business Intelligence systems, while providing the platform for new applications.
Create a Smarter Data Lake with HP Haven and Apache HadoopHortonworks
An organization’s information is spread across multiple repositories, on-premise and in the cloud, with limited ability to correlate information and derive insights. The Smart Content Hub solution from HP and Hortonworks enables a shared content infrastructure that transparently synchronizes information with existing systems and offers an open standards-based platform for deep analysis and data monetization.
- Leverage 100% of your data: Text, images, audio, video, and many more data types can be automatically consumed and enriched using HP Haven (powered by HP IDOL and HP Vertica), making it possible to integrate this valuable content and insights into various line of business applications.
- Democratize and enable multi-dimensional content analysis: - Empower your analysts, business users, and data scientists to search and analyze Hadoop data with ease, using the 100% open source Hortonworks Data Platform.
- Extend the enterprise data warehouse: Synchronize and manage content from content management systems, and crack open the files in whatever format they happen to be in.
- Dramatically reduce complexity with enterprise-ready SQL engine: Tap into the richest analytics that support JOINs, complex data types, and other capabilities only available with HP Vertica SQL on the Hortonworks Data Platform.
Speakers:
- Ajay Singh, Director, Technical Channels, Hortonworks
- Will Gardella, Product Management, HP Big Data
Combine Apache Hadoop and Elasticsearch to Get the Most of Your Big DataHortonworks
Hadoop is a great platform for storing and processing massive amounts of data. Elasticsearch is the ideal solution for Searching and Visualizing the same data. Join us to learn how you can leverage the full power of both platforms to maximize the value of your Big Data.
In this webinar we'll walk you through:
How Elasticsearch fits in the Modern Data Architecture.
A demo of Elasticsearch and Hortonworks Data Platform.
Best practices for combining Elasticsearch and Hortonworks Data Platform to extract maximum insights from your data.
Big Data Everywhere Chicago: Leading a Healthcare Company to the Big Data Pro...BigDataEverywhere
Mohammad Quraishi, Senior IT Principal, Cigna
Like Moses seeing the Promised Land from afar, we knew the big data journey would be worth it, but we didn't know how hard it would be. In this talk, I'll delve into the details of our big data and analytics initiative at Cigna,
Presenter: Ofer Mendelevitch of Hortonworks > Learn the benefits of big data for data scientists, and how Hadoop and HDInsight fit into the modern data architecture and enable data-driven products.
You'll learn:
* What data science actually means
* The term "data products"
* The benefits of using big data for data scientists
* How Hadoop helps data scientists work with big data
* About HDInsight, the big data platform from Microsoft and Hortonworks
Optimizing your Modern Data Architecture - with Attunity, RCG Global Services...Hortonworks
Today’s enterprises are challenged with capturing large amounts of data from a number of sources in a variety of formats, and then storing it in a cost-effective, timely manner. With your current data warehouse, this may seem overwhelming. It doesn’t have to be. With a Hadoop-based modern data warehouse, you can overcome these challenges and get meaningful insights from real-time data.
Want to learn how? Join experts from Attunity, Hortonworks, and RCG Global Services for a live webinar - where we will be discussing enterprise data warehouse optimization. You will learn how to:
•Rebalance your data warehouse by identifying unused data and resource-intensive workloads that can be moved to Hadoop.
•Seamlessly integrate your current enterprise data warehouse with a Modern Data Architecture.
•Better utilize data assets to reduce costs while realizing more value from your data.
•Develop a roadmap for implementing the Hadoop-based Modern Data Architecture and Data Lake.
An overview of the development of the Apache Hadoop software stack, including some of the barriers to participation -and how and why to overcome them. It closes with some open discussion points/ideas of how the existing process can be improved.
Hortonworks Oracle Big Data Integration Hortonworks
Slides from joint Hortonworks and Oracle webinar on November 11, 2014. Covers the Modern Data Architecture with Apache Hadoop and Oracle Data Integration products.
High Speed Continuous & Reliable Data Ingest into HadoopDataWorks Summit
This talk will explore the area of real-time data ingest into Hadoop and present the architectural trade-offs as well as demonstrate alternative implementations that strike the appropriate balance across the following common challenges: * Decentralized writes (multiple data centers and collectors) * Continuous Availability, High Reliability * No loss of data * Elasticity of introducing more writers * Bursts in Speed per syslog emitter * Continuous, real-time collection * Flexible Write Targets (local FS, HDFS etc.)
This talk will explore the area of real-time data ingest into Hadoop and present the architectural trade-offs as well as demonstrate alternative implementations that strike the appropriate balance across the following common challenges: * Decentralized writes (multiple data centers and collectors) * Continuous Availability, High Reliability * No loss of data * Elasticity of introducing more writers * Bursts in Speed per syslog emitter * Continuous, real-time collection * Flexible Write Targets (local FS, HDFS etc.)
Apache Hadoop and its role in Big Data architecture - Himanshu Barijaxconf
In today’s world of exponentially growing big data, enterprises are becoming increasingly more aware of the business utility and necessity of harnessing, storing and analyzing this information. Apache Hadoop has rapidly evolved to become a leading platform for managing and processing big data, with the vital management, monitoring, metadata and integration services required by organizations to glean maximum business value and intelligence from their burgeoning amounts of information on customers, web trends, products and competitive markets. In this session, Hortonworks' Himanshu Bari will discuss the opportunities for deriving business value from big data by looking at how organizations utilize Hadoop to store, transform and refine large volumes of this multi-structured information. Connolly will also discuss the evolution of Apache Hadoop and where it is headed, the component requirements of a Hadoop-powered platform, as well as solution architectures that allow for Hadoop integration with existing data discovery and data warehouse platforms. In addition, he will look at real-world use cases where Hadoop has helped to produce more business value, augment productivity or identify new and potentially lucrative opportunities.
Integrating Hadoop Into the Enterprise – Hadoop Summit 2012Jonathan Seidman
A look at common patterns being applied to leverage Hadoop with traditional data management systems and the emerging landscape of tools which provide access and analysis of Hadoop data with existing systems such as data warehouses, relational databases, and business intelligence tools.
Similar to Utrecht NL-HUG/Data Science-NL - Agile Data Slides (20)
Hortonworks DataFlow (HDF) 3.3 - Taking Stream Processing to the Next LevelHortonworks
The HDF 3.3 release delivers several exciting enhancements and new features. But, the most noteworthy of them is the addition of support for Kafka 2.0 and Kafka Streams.
https://hortonworks.com/webinar/hortonworks-dataflow-hdf-3-3-taking-stream-processing-next-level/
IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT StrategyHortonworks
Forrester forecasts* that direct spending on the Internet of Things (IoT) will exceed $400 Billion by 2023. From manufacturing and utilities, to oil & gas and transportation, IoT improves visibility, reduces downtime, and creates opportunities for entirely new business models.
But successful IoT implementations require far more than simply connecting sensors to a network. The data generated by these devices must be collected, aggregated, cleaned, processed, interpreted, understood, and used. Data-driven decisions and actions must be taken, without which an IoT implementation is bound to fail.
https://hortonworks.com/webinar/iot-predictions-2019-beyond-data-heart-iot-strategy/
Getting the Most Out of Your Data in the Cloud with CloudbreakHortonworks
Cloudbreak, a part of Hortonworks Data Platform (HDP), simplifies the provisioning and cluster management within any cloud environment to help your business toward its path to a hybrid cloud architecture.
https://hortonworks.com/webinar/getting-data-cloud-cloudbreak-live-demo/
Johns Hopkins - Using Hadoop to Secure Access Log EventsHortonworks
In this webinar, we talk with experts from Johns Hopkins as they share techniques and lessons learned in real-world Apache Hadoop implementation.
https://hortonworks.com/webinar/johns-hopkins-using-hadoop-securely-access-log-events/
Catch a Hacker in Real-Time: Live Visuals of Bots and Bad GuysHortonworks
Cybersecurity today is a big data problem. There’s a ton of data landing on you faster than you can load, let alone search it. In order to make sense of it, we need to act on data-in-motion, use both machine learning, and the most advanced pattern recognition system on the planet: your SOC analysts. Advanced visualization makes your analysts more efficient, helps them find the hidden gems, or bombs in masses of logs and packets.
https://hortonworks.com/webinar/catch-hacker-real-time-live-visuals-bots-bad-guys/
We have introduced several new features as well as delivered some significant updates to keep the platform tightly integrated and compatible with HDP 3.0.
https://hortonworks.com/webinar/hortonworks-dataflow-hdf-3-2-release-raises-bar-operational-efficiency/
Curing Kafka Blindness with Hortonworks Streams Messaging ManagerHortonworks
With the growth of Apache Kafka adoption in all major streaming initiatives across large organizations, the operational and visibility challenges associated with Kafka are on the rise as well. Kafka users want better visibility in understanding what is going on in the clusters as well as within the stream flows across producers, topics, brokers, and consumers.
With no tools in the market that readily address the challenges of the Kafka Ops teams, the development teams, and the security/governance teams, Hortonworks Streams Messaging Manager is a game-changer.
https://hortonworks.com/webinar/curing-kafka-blindness-hortonworks-streams-messaging-manager/
Interpretation Tool for Genomic Sequencing Data in Clinical EnvironmentsHortonworks
The healthcare industry—with its huge volumes of big data—is ripe for the application of analytics and machine learning. In this webinar, Hortonworks and Quanam present a tool that uses machine learning and natural language processing in the clinical classification of genomic variants to help identify mutations and determine clinical significance.
Watch the webinar: https://hortonworks.com/webinar/interpretation-tool-genomic-sequencing-data-clinical-environments/
IBM+Hortonworks = Transformation of the Big Data LandscapeHortonworks
Last year IBM and Hortonworks jointly announced a strategic and deep partnership. Join us as we take a close look at the partnership accomplishments and the conjoined road ahead with industry-leading analytics offers.
View the webinar here: https://hortonworks.com/webinar/ibmhortonworks-transformation-big-data-landscape/
In this exclusive Premier Inside Out, you will hear from Druid committer Slim Bouguerra, Staff Software Engineer and Product Manager Will Xu. These Hortonworkers will explain the vision of these components, review new features, share some best practices and answer your questions.
View the webinar here: https://hortonworks.com/webinar/hortonworks-premier-apache-druid/
Accelerating Data Science and Real Time Analytics at ScaleHortonworks
Gaining business advantages from big data is moving beyond just the efficient storage and deep analytics on diverse data sources to using AI methods and analytics on streaming data to catch insights and take action at the edge of the network.
https://hortonworks.com/webinar/accelerating-data-science-real-time-analytics-scale/
TIME SERIES: APPLYING ADVANCED ANALYTICS TO INDUSTRIAL PROCESS DATAHortonworks
Thanks to sensors and the Internet of Things, industrial processes now generate a sea of data. But are you plumbing its depths to find the insight it contains, or are you just drowning in it? Now, Hortonworks and Seeq team to bring advanced analytics and machine learning to time-series data from manufacturing and industrial processes.
Blockchain with Machine Learning Powered by Big Data: Trimble Transportation ...Hortonworks
Trimble Transportation Enterprise is a leading provider of enterprise software to over 2,000 transportation and logistics companies. They have designed an architecture that leverages Hortonworks Big Data solutions and Machine Learning models to power up multiple Blockchains, which improves operational efficiency, cuts down costs and enables building strategic partnerships.
https://hortonworks.com/webinar/blockchain-with-machine-learning-powered-by-big-data-trimble-transportation-enterprise/
Delivering Real-Time Streaming Data for Healthcare Customers: ClearsenseHortonworks
For years, the healthcare industry has had problems of data scarcity and latency. Clearsense solved the problem by building an open-source Hortonworks Data Platform (HDP) solution while providing decades worth of clinical expertise. Clearsense is delivering smart, real-time streaming data, to its healthcare customers enabling mission-critical data to feed clinical decisions.
https://hortonworks.com/webinar/delivering-smart-real-time-streaming-data-healthcare-customers-clearsense/
Making Enterprise Big Data Small with EaseHortonworks
Every division in an organization builds its own database to keep track of its business. When the organization becomes big, those individual databases grow as well. The data from each database may become silo-ed and have no idea about the data in the other database.
https://hortonworks.com/webinar/making-enterprise-big-data-small-ease/
Driving Digital Transformation Through Global Data ManagementHortonworks
Using your data smarter and faster than your peers could be the difference between dominating your market and merely surviving. Organizations are investing in IoT, big data, and data science to drive better customer experience and create new products, yet these projects often stall in ideation phase to a lack of global data management processes and technologies. Your new data architecture may be taking shape around you, but your goal of globally managing, governing, and securing your data across a hybrid, multi-cloud landscape can remain elusive. Learn how industry leaders are developing their global data management strategy to drive innovation and ROI.
Presented at Gartner Data and Analytics Summit
Speaker:
Dinesh Chandrasekhar
Director of Product Marketing, Hortonworks
HDF 3.1 pt. 2: A Technical Deep-Dive on New Streaming FeaturesHortonworks
Hortonworks DataFlow (HDF) is the complete solution that addresses the most complex streaming architectures of today’s enterprises. More than 20 billion IoT devices are active on the planet today and thousands of use cases across IIOT, Healthcare and Manufacturing warrant capturing data-in-motion and delivering actionable intelligence right NOW. “Data decay” happens in a matter of seconds in today’s digital enterprises.
To meet all the needs of such fast-moving businesses, we have made significant enhancements and new streaming features in HDF 3.1.
https://hortonworks.com/webinar/series-hdf-3-1-technical-deep-dive-new-streaming-features/
Hortonworks DataFlow (HDF) 3.1 - Redefining Data-In-Motion with Modern Data A...Hortonworks
Join the Hortonworks product team as they introduce HDF 3.1 and the core components for a modern data architecture to support stream processing and analytics.
You will learn about the three main themes that HDF addresses:
Developer productivity
Operational efficiency
Platform interoperability
https://hortonworks.com/webinar/series-hdf-3-1-redefining-data-motion-modern-data-architectures/
Unlock Value from Big Data with Apache NiFi and Streaming CDCHortonworks
Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It provides an end-to-end platform that can collect, curate, analyze, and act on data in real-time, on-premises, or in the cloud with a drag-and-drop visual interface. It’s being used across industries on large amounts of data that had stored in isolation which made collaboration and analysis difficult.
Join industry experts from Hortonworks and Attunity as they explain how Apache NiFi and streaming CDC technology provides a distributed, resilient platform for unlocking the value of data in new ways.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Hortonworks Data Platform (HDP) is the only 100% open source Apache Hadoop distribution that provides a complete and reliable foundation for enterprises that want to build, deploy and manage big data solutions. It allows you to confidently capture, process and share data in any format, at scale on commodity hardware and/or in a cloud environment. \n\nAs the foundation for the next generation enterprise data architecture, HDP delivers all of the necessary components to uncover business insights from the growing streams of data flowing into and throughout your business. HDP is a fully integrated data platform that includes the stable core functions of Apache Hadoop (HDFS and MapReduce), the baseline tools to process big data (Apache Hive, Apache HBase, Apache Pig) as well as a set of advanced capabilities (Apache Ambari, Apache HCatalog and High Availability) that make big data operational and ready for the enterprise.  \n\nRun through the points on left…\n