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HVR

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  • Modernizing Your Application Architecture with Microservices
    Modernizing Your Application Architecture with Microservices
    Joe de Buzna, Chong Yan Recorded: Oct 9 2018 40 mins
    In this webinar, learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®. They will show you how to implement these solutions through a real-world demo use case of microservice adoption.

    You will learn:

    How log-based change data capture (CDC) converts database tables into event streams
    How Kafka serves as the central nervous system for microservices
    How the transition to microservices can be realized without throwing away your legacy infrastructure
  • Building a Data Lake for Maximum Flexibility in Complex Environments
    Building a Data Lake for Maximum Flexibility in Complex Environments
    Mark Van de Wiel, HVR. Sam Khidhir AWS Recorded: Sep 27 2018 47 mins
    In this webinar, learn how even the most complex environments can be addressed when it comes to building a data lake—successfully.

    Data lakes are created across industries and to support many use cases and often combine data from multiple sources. Sensor-generated data, logs, and social media sources may plan an important role in many data lakes, but also ERP, SCM, CRM and other (packaged and home-grown) applications are important sources. With many different sources and data types, and a sheer infinite number of use cases to use the data in the data lake, how do you make sure your data lake can service the business needs? How would you build a data lake for maximum flexibility?

    In this webinar, Mark Van de Wiel, CTO HVR, will talk about strategies customers adopt to continuously feed data lakes. He also will discuss security and the ability to easily leverage multiple analytics services. Sam Khidhir, AWS Solutions Architect, will discuss why S3 is a common Data Lake destination for complex scenarios such as this and why it allows for maximum flexibility.

    What you will learn:

    • How to enable continuous data feeds from operational systems for business agility

    • The importance of data quality — what is required so that you and your teams can trust the data and why this is imperative?

    • How to leverage several AWS technologies to support multiple use cases with continuous, real-time, data Register today.
  • Oracle to Azure Cloud Case Study
    Oracle to Azure Cloud Case Study
    Zulf Qureshi, HVR Neal Higham, ASOS Recorded: Jun 12 2018 22 mins
    In this webinar, learn how popular e-commerce site, ASOS, adopted the Azure cloud for real-time analytics. Hear their solutions architect discuss their data integration challenge and how they overcame it with selected technologies.
  • GoEasy's Road to Real-Time Analytics
    GoEasy's Road to Real-Time Analytics
    Anu Oladele--GoEasy, Joe deBuzna--HVR Recorded: Mar 30 2018 48 mins
    Hear from GoEasy About Their Journey From Batch to Real-Time
    GoEasy, a Financial Services company based in Canada, provides consumer loans with a promise of fast decision making.

    In this webinar, Anu Oladele, Director of Data Science & Business Insights–GoEasy and Joe DeBuzna, VP of Field Engineering—HVR, will discuss how they worked together to architect a solution that enabled GoEasy to achieve real-time business insights and faster loan processing speeds. They will discuss the business use case, their process, and share a technical overview of the solution developed as well as plans for scaling their solution.
  • Unlocking SAP Data for Your Cloud or Data Lake
    Unlocking SAP Data for Your Cloud or Data Lake
    Mark Van de Wiel, Glenn Goodrich Recorded: Feb 28 2018 59 mins
    Are you using SAP ECC or SAP Hana? In this webinar, learn how HVR technology enables you to capture data continuously from these systems for real-time analytics from your destination of choice.
  • 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

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