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  • Accelerating Real-time Data Ingest into Hadoop Accelerating Real-time Data Ingest into Hadoop Hortonworks; Attunity Recorded: Sep 22 2016 44 mins
    Hadoop didn’t disrupt the data center. The exploding amounts of data did. But, let’s face it, if you can’t move your data to Hadoop, then you can’t use it in Hadoop. Join the experts from Hortonworks, the #1 leader in Hadoop development, and Attunity, a leading data management software provider, for a webinar where you’ll learn:

    -How to ingest your most valuable data into Hadoop using Attunity Replicate
    -About how customers are using Hortonworks DataFlow (HDF) powered by Apache NiFi
    -How to combine the real-time change data capture (CDC) technology with connected data platforms from Hortonworks

    We will discuss how Attunity Replicate and Hortonworks Data Flow (HDF) work together to move data into Hadoop. And, there will be a live question & answer session.
  • Monetizing Industrial IoT and Predictive Maintenance for the Automotive Industry Monetizing Industrial IoT and Predictive Maintenance for the Automotive Industry Simon Ball, Hortonworks; Abhishek Tandon, DataRPM Recorded: Sep 22 2016 48 mins
    Gartner predicts there will be 250 million connected vehicles by 2020. While automotive manufacturers are on track to drive connected vehicles implementation, are they poised to leverage the trillion-dollar opportunity from the gold-mine that is “sensor data”?

    Research from Morgan Stanley suggests, automotive manufacturers can save $488 billion by using predictive maintenance. By assessing in advance which equipment needs maintenance, automotive manufacturers can better plan maintenance work and smoothly convert the abrupt "unplanned outages" into shorter and fewer "planned outages" and spend lesser time in damage control as equipment issues are detected even before they actually occur. The result? Lower operational costs, increased machine lifetime and asset performance.

    Join this webinar to learn how automotive manufacturers can:

    · Transform connected vehicles into a revenue generating programme
    · Reduce costs with equipment insights from engineering data
    · Decrease downtime probabilities & boost production quality, safety and efficiencies
    · Automate data science workflow with meta-learning enabling you to dramatically reduce the manual data science effort
    · Learn how a leading automotive achieved 10% increase in operational efficiency with automated predictive maintenance
  • How to Install Hortonworks HDB on Hortonworks HDP How to Install Hortonworks HDB on Hortonworks HDP Hortonworks; Pivotal Recorded: Sep 21 2016 63 mins
    This webcast is the first in a five-part series on Hortonworks HDB, demonstrating the installation procedures for installing Hortonworks HDB on Hortonworks HDP. HDB’s integration with Apache Ambari allows you to install and manage your high-performance SQL database alongside other Hadoop services. Starting with an existing HDP cluster, it will cover any required prerequisites and then leveraging Apache Ambari to complete the install.
  • Using Spark in the Cloud with Hortonworks & Microsoft Using Spark in the Cloud with Hortonworks & Microsoft Dave Russell, Solutions Engineer, Hortonworks; Miguel Ángel de Luna Gómez, Microsoft Recorded: Sep 20 2016 61 mins
    Using Spark in the Cloud with Hortonworks & Microsoft.
    Today organizations produce more data than ever and are continuously looking for solutions that allow them to gain deep insight into their business and monetize the data collected from multiple sources.

    Apache Spark helps you improve your business insights by providing a highly-scalable and interactive environment for analyzing data. Microsoft has worked with Hortonworks to integrate Spark with Azure, making it available in the cloud. Azure HDInsight, Microsoft’s managed Hadoop-as-a-service, eliminates the heavy lifting associated with deploying, managing and executing tasks on Hadoop and Spark, thus raising the bar on what it means to process big data in the cloud.

    Join the upcoming webinar and find out:
    What are the most common use cases for Apache Spark and how can you apply them to your business
    How to make interactive queries over big data in Hadoop using BI tools How to use machine learning algorithms to predict outcomes in your analysis
  • How to Become a Data-Driven Business Without Compromising Security How to Become a Data-Driven Business Without Compromising Security Olivier Renault, NEMEA SE Manager, Hortonworks & Ron Miles, VP International Sales, Dataguise Recorded: Sep 15 2016 31 mins
    Companies of all sizes are challenged to keep up with emerging technologies that deliver a competitive advantage. Big data holds the key to a greater customer insight and stronger customer relationships. But risk of sensitive data exposure — and compliance violations— keep many organisations from pursuing big data initiatives and reaping the rewards of business-driven analytics. Join this webinar and find out:

    · How can our technology help you pseudonymise sensitive data

    · Share your data freely internally & externally without breaching compliance regulations

    · Make an informed decision and leverage big data to gain competitive advantage
  • Markel International: A Hortonworks Case Study in Insurance Markel International: A Hortonworks Case Study in Insurance Neil Winters, Markel; Cindy Maike, General Manager of Insurance; Hortonworks Recorded: Sep 12 2016 51 mins
    In Neil Winters own words, Markel International sells its customers “a promise, not a product” and as a result, a continuous view of data across a huge variety of sources is critical.

    During this webinar, Cindy Maike, general manager for insurance at Hortonworks, will explore the approach Markel is taking to respond to the priorities of the company’s actuaries with Neil Winters, head of information management and shared services. Cindy and Neil will explore the progress Markel is making with Hortonworks Data Platform and Hortonworks DataFlow, how Neil sees it developing, plans to monetise the impact of big data analytics and how he expects the wider industry and roles within it to adapt.

    Markel Corporation is a holding company for insurance, reinsurance, and investment operations around the world. Founded in 1930, it writes insurance and reinsurance business through offices across the UK, Europe, Canada, Latin America, and Asia Pacific
  • High-Performance Interactive SQL Analytics and Machine Learning on Hadoop High-Performance Interactive SQL Analytics and Machine Learning on Hadoop Jeff Kelly; Pivotal | Ajay Singh;; Hortonworks Recorded: Sep 7 2016 64 mins
    Already strategic partners, Pivotal Software and Hortonworks deepened their relationship in Spring 2016 with the goal of providing enterprises the most complete modern data platform for advanced analytics and machine learning. As part of the expanded relationship, Hortonworks has introduced Hortonworks HDB, the market’s leading Hadoop Native SQL database and big data SQL machine learning engine based on Apache HAWQ and Apache MADlib (incubating).

    Join Pivotal’s Jeff Kelly and Hortonworks’ Ian Fyfe in this webinar to learn more about:
    • Advantages of Hortonworks HDB
    • How it works
    • When to consider HDB vs. Apache Hive
    • HDB industry use cases
  • Financial Risk Data Aggregation and Reporting Financial Risk Data Aggregation and Reporting Vamsi Chemitiganti, GM of Financial Services, Hortonworks Recorded: Aug 30 2016 60 mins
    Big Data and Apache™ Hadoop® are driving tectonic shifts in enterprise data management (EDM) within the financial services industry. Open Enterprise Hadoop and the vendor ecosystem growing up around it are consolidating and standardizing data architectures at the leading financial institutions around the world—transforming expensive, inflexible, and proprietary data landscapes into economic, agile, open source data environments.

    You can read more about these transformations in this blog.

    Please join Vamsi Chemitiganti, General Manager of Financial Services at Hortonworks, for an August 30th webinar where he talks about these transformations in the context of financial risk data aggregation and reporting.

    -Learn how to leverage Connected Data Platforms--Hortonworks Data Platform (HDP) and Hortonworks Data Flow (HDF)--to accurately, completely, and timely aggregate your financial risk data.
    -Learn how to build an agile data architecture capable of navigating regulatory changes more quickly than your competition, while simultaneously giving you deeper insight into the fabric of your business.
  • Big Data Analytics and Data Management with Hortonworks & HPE Big Data Analytics and Data Management with Hortonworks & HPE Vincent Powell, HPE & Dave Russell, Hortonworks Recorded: Aug 23 2016 63 mins
    As organizations strive to identify and realize the value in Big Data, many now seek more agile and capable analytic systems. While many have piloted Hadoop as a data repository for simple workloads, there is much more value that can be created from Hadoop by leveraging the data in the platform more, to interact with the data and uncover new business insights.

    To understand how to be agile and data driven, please join us for a webinar with some of our Big Data experts. At this session we will be covering:

    • Best practice methods needed to extract value from Hadoop investments, analysing opportunities and obstacles many organizations face nowadays.
    • How to identify, validate and prioritise IT use cases based on value.
    • Why consumption based platforms are, in the current business world, the best of choice to overcome the risk of technology obsolescence.
    • Strategic guide to work with customer senior management and lead architects to address their architectural direction and alignment with business priorities.
    • Competitive information you need to craft the winning analytics strategy to derive real-time business insights from new and existing data sources.
  • The Business Impact of Fast Data Analytics The Business Impact of Fast Data Analytics Impetus; Fannie Mae Recorded: Aug 18 2016 61 mins
    The promise of big data is greater than ever before…due to an explosion in the number and variety of data sources. This has caused a shift from traditional structured, and batch or periodic data warehouse environments to today’s more complex combination of structured with semi & unstructured data, along with the requirement to apply analytics in real-time. To determine how best to deliver on the full promise of this opportunity, enterprises today have to sort through an often confusing array of commercial and open source solutions.

    This webinar will feature a real-world example describing how Fannie Mae worked with partners Hortonworks and Impetus Technologies to develop a streamlined solution to:
    -Reduce the cost and complexity of their data infrastructure by leveraging more efficient and effective big data and fast data ingestion platforms
    -Deliver net new analytics capabilities
    -Apply data quality checks and data enrichment at the point of ingest through the use of real-time analytics

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