Session

Embrace the chaos: Composable data systems with fewer asterisks

Have you ever been asked "how do I get this data I need right now?" and the answer was "it's complicated and it depends"? Welcome to The Bad Data Place! Organizations don't store data in just one place anymore, almost always spreading it across many different locations: on premise databases, multiple clouds, and so many other systems. Dealing with this data sprawl necessitates solutions that can reach across storage layers and databases. Frequently this means dealing with costly migrations, lengthy rewrites, and mazes of glue code. How can we reduce or avoid this? Composability and Standards.

This talk will cover a few essential connectivity standards for designing modular and composable data systems that will make the data sprawl feel smaller to your end users. We'll also cover how you can leverage the ecosystem around Apache Arrow to reduce the number of asterisks you'll have to include when explaining how users can retrieve the data they need.

Matt Topol

Author of "In-Memory Analytics with Apache Arrow" | Staff Software Engineer at Voltron Data

Norwalk, Connecticut, United States

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