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5 Steps to an Awesome Apache Cassandra™ Data Model

Picking the right data model is the most critical step to ensuring you get the most out of your Apache Cassandra implementation. For years, Patrick McFadin, DataStax’s own VP of Developer Relations, has been a go-to resource for enterprises wanting to learn how to do this right. In this expert session, Patrick will walk you through how to apply schema design based on your use case and the associated query patterns—but that’s not all. He’ll also share his five-step framework for implementing an awesome Cassandra data model.
Recorded Apr 18 2019 61 mins
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Patrick McFadin, VP of Developer Relations, DataStax
Presentation preview: 5 Steps to an Awesome Apache Cassandra™ Data Model

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    About the Speaker:

    Kartavya Jain (KJ), Product Marketing Manager at DataStax
KJ is a Product Marketing Manager at DataStax. He has over six years of global experience in product marketing, digital marketing, and solution marketing in enterprise software companies. Prior to joining DataStax, Jain led the marketing team at DataTorrent, driving its product and digital marketing functions. He is passionate about technology and is a hands-on marketing professional who believes in delivering value through results-driven, content-rich marketing to customers and sales teams.
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The Power Behind the Moment
It starts with a human desire, and when a universe of technology, devices and data aligns, it ends in a moment of fulfillment and insight. Billions of these moments occur each second around the globe. They are moments that can define an era, launch an innovation, and forever alter for the better how we relate to our environment. DataStax is the power behind the moment. Built on the unique architecture of Apache Cassandra™, DataStax Enterprise is the always-on data platform and has been battle-tested for the world’s most innovative, global applications.
With more than 500 customers in over 50 countries, DataStax provides data management to the world’s most innovative companies, such as Netflix, Safeway, ING, Adobe, Intuit, Target and eBay. Based in Santa Clara, Calif., DataStax is backed by industry-leading investors including Comcast Ventures, Crosslink Capital, Lightspeed Venture Partners, Kleiner Perkins Caufield & Byers, Meritech Capital, Premji Invest and Scale Venture Partners. For more information, visit DataStax.com/customers or follow us on @DataStax.

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  • Live at: Apr 18 2019 6:30 pm
  • Presented by: Patrick McFadin, VP of Developer Relations, DataStax
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