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HVR

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  • Best Practices for Data Integration into AWS
    Best Practices for Data Integration into AWS Mark Van de Wiel Recorded: Dec 6 2017 61 mins
    Integrating data into the AWScloud for real-time analytics require some considerations as to how to do it successfully. In this webinar, HVR CTO, Mark Van de Wiel talks about best practices HVR customer have employed in order to ensure successful ongoing data integration into the AWS cloud.
  • Big Data Compare: Ensuring Data Correctness
    Big Data Compare: Ensuring Data Correctness Joe deBuzna Recorded: Nov 6 2017 8 mins
    How do you make sure your data is bit correct in the source and target systems? In this video, learn how the Big Data Compare feature in HVR enables you to make sure your data is correct and in sync.
    VP of Field Engineering, Joe deBuzna, explains how the Big Data Compare function works in HVR, why it is important for your business, and how it can identify and mitigate errors.
  • Bi-Directional Data Movement Need Not Be Feared
    Bi-Directional Data Movement Need Not Be Feared Glenn Goodrich Recorded: Oct 18 2017 14 mins
    Bi-directional data movement need not be feared when using HVR for real-time data integration. In this video, Glenn Goodrich, Director of Enablement, explains how bi-directional data movement can be accomplished efficiently, accurately, and in real-time with HVR.

    Chapter 1: What is Bi-Directional? 1:13

    Chapter 2-1: How to Implement Bi-Directional 3:32

    Chapter 2-2: Bi-Directional Considerations 5:03

    Chapter 3: Why Implement Bi-Directional? 11:46


    Additional Areas of Interest:
    Collisions: 5:36
    Triggers: 6:34
    DDL Operations and Truncates: 7:15
    Loop Avoidance: 8:15
    Conflict Detection Resolution (CDR): 10:06
  • Predictive Analytics for Operational Efficiency
    Predictive Analytics for Operational Efficiency Mark Van de Wiel Recorded: Sep 27 2017 9 mins
    Analytics have evolved from "what HAS happened" to "what WILL happen" to "what SHOULD happen." Having the ability to predict the future relies on the orchestration of systems in order to have the ability to provide the right information at the right time.

    In this video, HVR CTO Mark Van de Wiel discusses how predictive analytics can allow for a more efficient business future. He shares a scenario in which a data lake, HVR and data can be used for predictive analytics.
  • Three Data Lake Deployment Examples Using Different Technologies
    Three Data Lake Deployment Examples Using Different Technologies Mark Van de Wiel, Joe deBuzna Recorded: Sep 27 2017 62 mins
    “Data Lake is a concept, not a technology” is a common quote we hear about Data Lakes. Data Lakes are most definitely a concept in how companies manage growing volumes of data sources and types. The technologies selected are a realization of this concept. So where to start?

    In this webinar, learn about technologies that have served as a data lake for some of the largest organizations in the world. These organizations have used different technologies and strategies for managing their data lake. At HVR, we help these organizations integrate their data from multiple sources into their data lake.

    In this webinar, HVR VP of Field Engineering, Joe De Buzna and CTO Mark Van de Wiel, share customer successes, challenges, and technologies used in their data lake projects.

    What you will learn:

    Three different technologies used for “data lakes”
    Considerations when deploying a data lake in the cloud
    How to continuously integrate data into your data lake
    How to create a data lake that can be trusted
    If you would like to discuss the different technologies for your data lake project, we welcome you to contact us. info@hvr-software.com
  • 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.

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