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HVR

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  • Cloud Adoption for Greater Business Agility
    Cloud Adoption for Greater Business Agility Mark Van de Wiel, Matt Aslett Recorded: Sep 8 2017 8 mins
    Matt Aslett of 451 Research joins our CTO, Mark Van de Wiel, to discuss why organizations are flocking to the cloud, considerations for adopting a cloud strategy and how a cloud strategy can enable better business agility.
  • Data Lakes For a Better Business Future
    Data Lakes For a Better Business Future Mark Van de Wiel, Matt Aslett Recorded: Sep 8 2017 9 mins
    Get insights on data lake best practices from data integration experts, Mark Van de Wiel, and Matt Aslett of 451 Research. Learn about what defines a data lake, how to build a purposeful data lake and common business use cases for a data lake.
  • How HVR Feeds Your Data Lake From Traditional Sources in Real-Time
    How HVR Feeds Your Data Lake From Traditional Sources in Real-Time Mark Van de Wiel Recorded: Aug 30 2017 9 mins
    A Data Lake is a destination for a variety of data types. IoT, Streaming Data, and data from traditional systems are commonly deposited into the data lake for reporting.
    HVR is a solution for moving data from traditional sources into your data lake for real-time updates. In this video, learn how HVR enables high volume data movement into data lakes. Most of all, HVR includes features that allow you to validate and monitor your data so that you always know that you are sending your teams accurate and reliable reporting data.
  • Data Movement in Complex Environments : HVR Data Replication Topology 101
    Data Movement in Complex Environments : HVR Data Replication Topology 101 Simon Whitworth Recorded: Aug 25 2017 7 mins
    Learn about the many different ways HVR can move data between systems while keeping the data safe, secure, and accurate. HVR can not only move data from one source system to another but can move data bi-directionally and multi-directionally while maintaining efficiency and accuracy.
  • Building and Maintaining a Data Lake for Big Data Analytics
    Building and Maintaining a Data Lake for Big Data Analytics Mark Van de Wiel, Joe McKendrick Recorded: Aug 24 2017 61 mins
    Many data-driven organizations are adopting data lakes to support data discovery, data science and real-time operational analytics capabilities. In fact, one third of DBTA readers are planning projects for 2017. The ability to inexpensively store large volumes of data from diverse sources and make that data readily accessible to workers and applications across the enterprise is a huge advantage for companies pursuing new types of analytics, especially those involving the Internet of Things and cognitive computing use cases.

    However, building and maintaining a data lake to support new analytics applications involves a number of technical challenges, from data architecture and integration, to data security and governance.

    In this webinar, your hosts, Joe McKendrick, lead analyst at Unisphere Research, and Mark Van de Wiel, CTO at HVR, highlight common pitfalls, key best practices, and success stories in building and maintaining a data lake for big data analytics that you can trust.
  • Benefits of Log-Based Change Data Capture
    Benefits of Log-Based Change Data Capture Mark Van de Wiel Recorded: Aug 23 2017 8 mins
    In this seven minute video, learn about the benefits of Log-Based Change Data Capture and the benefits for real-time data integration.
  • Deploying a Data Lake in the Cloud
    Deploying a Data Lake in the Cloud Mark Van de Wiel, Joe deBuzna Recorded: Jul 25 2017 61 mins
    Is your organization adopting the Cloud? Are you involved in any discussions about implementing a Data Lake?

    In this webinar, HVR experts Joe deBuzna and Mark Van de Wiel provide practical, real-world knowledge about how to integrate data successfully into your cloud-based data lake. They address common cloud and data lake deployment concerns such as: integrating data from multiple sources, moving data securely, validating data and more.

    This webinar also features a live demo of HVR's latest Data Lake release to continuously move on-prem data into a Data Lake on S3, and programmatically validate data correctness.

    What you will learn:

    - Evolution of data integration that led to Data Lakes
    - Common challenges when integrating data into a Data Lake and how to overcome them
    - Best practices for integration into, out of and between Clouds.


    Who should attend: Data Architects, Database Administrators, Business Intelligence Analysts
  • Five Key Questions about Data Lakes
    Five Key Questions about Data Lakes Mark Van de Wiel, Philip Russom, Ph.D. Recorded: May 31 2017 61 mins
    Many organizations have a serious interest in data lakes, at the moment, because of the business analytics and new data-driven practices that lakes promise. Yet, these organizations still aren’t quite ready to take a dive into a data lake. Whether they are unable to define standard structures, align and maintain business meanings, or create a governance strategy, these companies struggle to anticipate what truly lies beneath the surface of the data lake.

    If this sounds familiar, join us and Philip Russom, Ph.D. of TDWI in our webinar about data lakes. Here we will explore five key questions we typically hear about data lakes as well as common myths. Discover how to move forward with confidence, avoid common pitfalls, and build a data lake that provides real business value across the enterprise.
  • Emerging Best Practices in Hybrid-Cloud Strategies
    Emerging Best Practices in Hybrid-Cloud Strategies Mark Van de Wiel Recorded: Apr 27 2017 59 mins
    Many companies are beginning to acquire IoT data and more external data sets for completely new forms of analytics. These large, external and streaming data sets are a source of insights on their own, but companies are quickly realizing the tremendous value in integrating these with their existing operational systems and databases. This has given way to a set of new architecture patterns and data engineering best practices that are being incorporated into cloud and hybrid-cloud strategies. This presentation explores some of the proven strategies, new technologies and lessons learned from these early pioneers.
  • The Case for Continuous Data Integration: An In-Depth Look at a Blended Approach
    The Case for Continuous Data Integration: An In-Depth Look at a Blended Approach Matt Aslett, 451 Research Director, & Mark Van de Wiel, HVR CTO Recorded: Mar 14 2017 51 mins
    How do you drive the most value from your data? There is growing attention on the need to process and analyze data in motion. As your business looks to generate additional value from multiple data sources, simply processing historical data is likely not going to be enough, and nor is relying solely on real-time streaming solutions. In this webinar learn how continuous data integration can drive value for your business and gain insights into how leading global organizations have implemented this approach and the impact on their business.

    Join 451 Research Analyst, Matt Aslett, and HVR’s CTO, Mark Van de Wiel for this discussion with a short Q&A at the end.

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