Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
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D2C242: Data Engineering and its Streams, Rivers, and Lakes
Manage episode 418062189 series 1250290
Content provided by Chariot Solutions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chariot Solutions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Keith Gregory teaches Day Two Cloud about data engineering in a way DevOps folks (and hydrologists) can understand. He explains that the role of a data engineer is to create pipelines to transport data from metaphorical rivers and make it usable for data analysts. Keith walks us through the testing process; the difference between streaming pipelines and polling pipelines; and the difference between data lakes and data warehouses. Plus, he explains terms that network engineers and developers might bump into when working on big projects, but might not know exactly what they are: ELT, OLTP, columnar storage, and more.
The post D2C242: Data Engineering and its Streams, Rivers, and Lakes appeared first on Chariot Solutions.
46 episodes
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Manage episode 418062189 series 1250290
Content provided by Chariot Solutions. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chariot Solutions or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Keith Gregory teaches Day Two Cloud about data engineering in a way DevOps folks (and hydrologists) can understand. He explains that the role of a data engineer is to create pipelines to transport data from metaphorical rivers and make it usable for data analysts. Keith walks us through the testing process; the difference between streaming pipelines and polling pipelines; and the difference between data lakes and data warehouses. Plus, he explains terms that network engineers and developers might bump into when working on big projects, but might not know exactly what they are: ELT, OLTP, columnar storage, and more.
The post D2C242: Data Engineering and its Streams, Rivers, and Lakes appeared first on Chariot Solutions.
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Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
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…
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The American healthcare system is one of the most innovative in the world. But it’s also riddled with complex challenges, such as access to affordable medications, inefficiency and administrative burdens, and communication barriers between providers. There’s clearly a better way—and at Surescripts, we have a unique sightline into what that may be. In this series, host Melanie Marcus, Chief Marketing Officer of Surescripts, sits down with today’s most inspiring and innovative leaders in healt ...
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