Hi [[ session.user.profile.firstName ]]

Hortonworks

  • Date
  • Rating
  • Views
  • Democratizing Big Data with Microsoft Azure HDInsight
    Democratizing Big Data with Microsoft Azure HDInsight Arun Kumar, Hortonworks and Ben Sadeghi, Microsoft Recorded: Sep 20 2017 58 mins
    Learn how you can use Microsoft Azure HDInsight to discover insight from new data sources such as machine logs, sensors, social media, weather and geospatial data.
  • Big Data Customer Case Study: The Advisory Board Company
    Big Data Customer Case Study: The Advisory Board Company Ramesh Thyagarajan, Advisory Board; Roni Fontaine, Hortonworks; Anant Chintamaneni, BlueData Recorded: Sep 14 2017 64 mins
    Join this webinar and learn how a leading healthcare company is yielding big dividends from Big Data.

    Advisory Board, a healthcare firm serving 90% of U.S. hospitals, has multiple different business units and data science teams within their organization. In this webinar, they'll share how they use technologies like Hadoop and Spark to address the diverse use cases for these different teams – with a highly flexible and elastic platform leveraging Docker containers.

    In this webinar, Advisory Board will discuss how they:

    -Migrated their analytics from spreadsheets and RDBMS to a modern architecture using tools such as Hadoop, Spark, H2O, Jupyter, RStudio, and Zeppelin.
    -Provide the ability to spin up instant clusters for greater agility, with shared and secure access to a treasure trove of data in their HDFS data lake.
    -Shortened time-to-insights from days to minutes, slashed infrastructure costs by more than 80 percent, and freed up staff to innovate and build new capabilities.

    Don’t miss this case study webinar. Find out how you can improve agility, flexibility, and ROI for your Big Data journey.
  • How to Disrupt Your Market: A Guide to Industry Transformation, Tailored to You
    How to Disrupt Your Market: A Guide to Industry Transformation, Tailored to You Dave Russell, Solutions Engineer, Hortonworks and David Chancellor-Maddison IBM Recorded: Sep 7 2017 62 mins
    In today's rapidly changing business environment, organisations face the challenge of adopting and meeting ever-changing stakeholder demands. Business leaders introduce new analytical workloads, expecting IT to deliver services ever quicker and more efficiently to allow businesses to gain real-time insights from the data and drive a more targeted customer interaction - and even fiercer competition. But how can IT make this happen?

    During this webinar Hortonworks and IBM will share real world use cases, showcasing organisations used our technology to accommodate changing needs and to monetise on the insights gathered from the data.
  • Digital Transformation, AI & IoT  - what’s next?
    Digital Transformation, AI & IoT - what’s next? Abhas, Head of Strategy, Hortonworks Recorded: Aug 8 2017 55 mins
    Today's corporate organizations are evolving at a pace that it has become imperative to become data driven, digitally transformed to stay competitive. With this in mind, further advances in new technologies such as open source platforms, artificial Intelligence, virtual reality have challenged those once aspirations now called norms.

    Join Abhas of Hortonworks as he shares how organizations have evolved transforming their business practices, operations and culture. He'll also share insights into what industries and technologies are trending and what to expect in the not so distant future.
  • Enterprise Data Warehouse Optimization: 7 Keys to Success
    Enterprise Data Warehouse Optimization: 7 Keys to Success Scott Gnau, CTO at Hortonworks and David Loshin, President of Knowledge Integrity Inc. Recorded: Aug 1 2017 54 mins
    You have a legacy system that no longer meet the demands of your current data needs, and replacing it isn’t an option. But don’t panic: Modernizing your traditional enterprise data warehouse is easier than you may think.

    Join us on August 1st at 11am PDT to hear from David Loshin, President of Knowledge Integrity, Inc. and Scott Gnau, Chief Technology Officer of Hortonworks as they discuss what it takes to optimize your enterprise data warehouse. When you attend, you will learn how to:

    • Leverage Horizontal Scalability/Elasticity with Open Source Technologies to Reduce Costs
    • Augment enterprise data warehouse storage with Hadoop and Hive
    • Use Flexible Data Organization to Enable Schema on Read
  • How Data Governance Holds the Key to GDPR Compliance
    How Data Governance Holds the Key to GDPR Compliance Srikanth Venkat & Ana Gillan, Hortonworks Recorded: Jul 25 2017 61 mins
    The upcoming GDPR legislation represents a sea change for organisations that store or process data relating to EU residents. With penalties for violations up to 4% of annual global turnover, organisations are scrambling to comply with GDPR provisions. Effective data governance and access control helps enterprises manage risk effectively, comply with regulations and gain competitive advantage through agile decision.
    Join Srikanth Venkat, Sr. Director Product Management and Ana Gillan, Solutions Engineer as they discuss effective data governance and its role in complying with regulations such as GDPR. They will also cover Atlas and Ranger, the governance and security components of Hortonworks Data Platform and their role in effective data governance.

    This webinar is not intended to constitute legal advice. Viewers should consult with their own legal counsel regarding compliance with GDPR and other laws and regulations applicable to their particular situation and intended use of any Hortonworks products and services. Hortonworks makes no warranties, express, implied, or statutory, as to the information in this webinar.
  • How to build Next Generation Analytics Applications using HDF 3.0
    How to build Next Generation Analytics Applications using HDF 3.0 Sebastian Carroll, HDF Specialist, Hortonworks Recorded: Jul 20 2017 54 mins
    To realize the full potential of modern data applications, organizations need to be able to capture perishable insights from data in motion. While flow management tools are available to help gather, route, filter and transform data from any source, companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data.

    Join this webinar as we discuss how to build next generation analytical application using HDF 3.0 very quickly.

    Sebastian is an HDF specialist in Europe and has previously worked on Big Data and Software Engineering projects with Raytheon and Lockheed Martin in Australia. He first started using dataflow components such as NiFi three years ago and immediately felt the benefits that it brings and is now the go to data-in-motion evangelist at Hortonworks EMEA.
  • Building Next Generation Streaming Analytics Application - Within 10 Min
    Building Next Generation Streaming Analytics Application - Within 10 Min Wei Wang and George Vetticaden, Hortonworks Recorded: Jul 12 2017 61 mins
    To realize the full potential of modern data applications, organizations need to be able to capture perishable insights from data in motion. While flow management tools are available to help gather, route, filter and transform data from any source, companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data.

    Imagine the power to build a fully functional streaming analytics application without writing a single line of code and within as little as 10min.
  • Your Self-Driving Car – How Did It Get So Smart?
    Your Self-Driving Car – How Did It Get So Smart? Michael Ger, Hortonworks; Seunghan Han & Andreas Pawlik, NorCom Recorded: Jun 29 2017 31 mins
    The march towards autonomous vehicles continues to accelerate. While expert opinion differs on the specific timing and use cases that will emerge first, few deny that self-driving cars are in our future.

    As we all can appreciate, “teaching” a vehicle to drive under the full range of conditions it will encounter (i.e. road conditions, weather conditions, behavior of other vehicles) is a daunting proposition. If merely the thought of this makes you nervous, you’re not alone – according to the American Automobile Association (AAA), 75 percent of consumers are not yet ready to embrace self-driving cars. However, that is the very challenge facing automakers – teaching vehicles to unfailingly assess and respond to any combination of operational conditions “on-the-fly” through discrete rules (algorithms) governing a vehicle’s behavior.

    Join Hortonworks and NorCom at the upcoming webinar as we discuss:

    •Evolution of the autonomous driving
    •Traditional data management approaches and main challenges associated with them
    •How NorCom and Hortonworks can address those challenges and accelerate the pace of autonomous development
  • Powering Big Data Success in the Cloud
    Powering Big Data Success in the Cloud Anna Yong, Hortonworks and Paul Codding, Hortonworks Recorded: Jun 27 2017 30 mins
    Find out how Hortonworks support subscriptions enable IT agility and success in the cloud.

Embed in website or blog