Data Engineering Podcast

This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.

https://www.dataengineeringpodcast.com

Eine durchschnittliche Folge dieses Podcasts dauert 48m. Bisher sind 93 Folge(n) erschienen. Dies ist ein wöchentlich erscheinender Podcast
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episode 80: Using FoundationDB As The Bedrock For Your Distributed Systems


An interview about the FoundationDB project and how it simplifies the work of building custom distributed systems applications


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episode 79: Running Your Database On Kubernetes With KubeDB


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episode 78: Unpacking Fauna: A Global Scale Cloud Native Database


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episode 77: Index Your Big Data With Pilosa For Faster Analytics


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 2019-04-15  43m
 
 

episode 76: Serverless Data Pipelines On DataCoral


An interview about how DataCoral is building an abstraction layer over data pipelines using microservices built on serverless technologies


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 2019-04-08  53m
 
 

episode 75: Why Analytics Projects Fail And What To Do About It


An interview about the common factors that contribute to failure in analytics projects and how data engineers can help keep them on the path to success


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 2019-04-01  36m
 
 

episode 74: Building An Enterprise Data Fabric At CluedIn


An interview about building an enterprise data fabric at scale to ease enterprise data integration


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 2019-03-25  57m
 
 

episode 73: A DataOps vs DevOps Cookoff In The Data Kitchen


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episode 72: Customer Analytics At Scale With Segment


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episode 71: Deep Learning For Data Engineers


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 2019-02-25  42m