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Hitachi Vantara

How To Get Your DataOps Initiative Prioritized And Paid For

Jul 13, 2020 By Hitachi Vantara In Hitachi Vantara
You see the clear and immediate value in DataOps, but your opinion is not the only one that matters. You need  your team, your colleagues and your business partners to see that value too – or the project  won’t move ahead. In this  session, you'll learn the tips and techniques for building an inclusive story.  We'll discuss techniques of Design Thinking you can use to translate very technical concepts into business value and outcomes. You will  learn  practical ways to communicate the value in your DataOps initiative and ensure that it delivers that value when you  Implement it.
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A Dose Of Data Science Demystification

Jul 10, 2020 By Hitachi Vantara In Hitachi Vantara
Join two data engineers and analysts in pulling back the curtain on real customer engagements, showing how to select and implement advanced data science and analytic techniques. In this session we will discuss our implementation of two data science models at a large agricultural products manufacturer: a propensity-to-buy model and a recommendation engine. We will discuss how each of these models works and how they were implemented for our client.
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Make Your Data Fabrics Work Better

Jul 10, 2020 By Hitachi Vantara In Hitachi Vantara
To gain the full benefits of the DataOps strategy, your data lakes must change. The traditional concept of bringing all data to one place, whether on-premises or in the cloud, raises questions of timing, scale, organization and budget. The answer? Data fabric. It replaces traditional data lake organization concepts with a more flexible and economical architecture. In this session, we'll define what a data fabric is, show you how you can begin organizing around the concept, and discuss how to align it to your business objectives.
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Welcome and Introduction to DataOps.NEXT

Jul 2, 2020 By Hitachi Vantara In Hitachi Vantara
DataOps matters, especially in today’s uncertain times. Data management and analytics are crucial to respond faster and drive results for your business, your customers and society. That’s why we built DataOps.NEXT to help you get from now to what’s next, with data. We’ll bring out Dr. Jennifer Hall, the chief of data science for American Heart Association (AHA) to discuss how Hitachi Vantara and AHA have worked together to support research for COVID-19. Tune in for Pedro Alves, Hitachi Vantara’s head of product design and designated “Community Guy.” He’ll provide our vision and strategy for DataOps, including an update on Pentaho Open Source and Enterprise Edition
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Lumada for DataOps - Innovate with Data

Jun 18, 2020 By Sanjay Chikarmane In Hitachi Vantara

DataOps is data management for the AI era. It offers new opportunities for emerging industry leaders by simultaneously instituting agility, improving quality, and increasing production success. Here, I will outline how you can solve some of your biggest data management issues with Lumada solutions, which power some of the top organizations in the world. Let’s first discuss data friction and how to remove it.

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Pentaho 9.0 Teaser: Multcluster Enhancements

Apr 24, 2020 By Hitachi Vantara In Hitachi Vantara
Many organizations want to run any workload from any location without the burden of rearchitecting or refactoring applications. Often, they’ll want to leverage their existing on-premise Hadoop investments and provide a seamless experience to data consumers when they migrate to the cloud to take advantage of the usability, scalability and elasticity of cloud-native solutions. Watch this video to learn more about the Pentaho’s 9.0 multicluster enhancements.
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For Business Agility, Focus on Data - Not on Data Management

Apr 17, 2020 By Sanjay Chikarmane In Hitachi Vantara

Effectively managing data in an edge-to-cloud world is becoming increasingly complex. Enterprises need data management simplicity and agility to maximize the benefits they can get from their data. The enterprise that will succeed will shift resources away from mundane data management tasks to focus on using data to innovate and add business value.

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