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 47m. Bisher sind 92 Folge(n) erschienen. Dieser Podcast erscheint wöchentlich
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episode 21: The Future Data Economy with Roger Chen


Data Liquidity In The AI Economy (Interview)


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 2018-03-05  42m
 
 

episode 20: Honeycomb Data Infrastructure with Sam Stokes


Event Data Infrastructure at Honeycomb.io (Interview)


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 2018-02-26  41m
 
 

episode 19: Data Teams with Will McGinnis


How Data Teams Work Together (Interview)


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 2018-02-19  28m
 
 

episode 18: TimescaleDB: Fast And Scalable Timeseries with Ajay Kulkarni and Mike Freedman


TimescaleDB: Fast and Scalable Timeseries On PostGreSQL (Interview)


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 2018-02-11  1h2m
 
 

episode 17: Pulsar: Fast And Scalable Messaging with Rajan Dhabalia and Matteo Merli


Fast, Globally Scalable Data Streaming with Pulsar (Interview)


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 2018-02-04  53m
 
 

episode 16: Dat: Distributed Versioned Data Sharing with Danielle Robinson and Joe Hand


Dat Project: Efficient Sharing of Versioned Data Sets (Interview)


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 2018-01-29  1h2m
 
 

episode 15: Snorkel: Extracting Value From Dark Data with Alex Ratner


Snorkel: Extracting Value From Dark Data With Python (Interview)


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 2018-01-22  37m
 
 

episode 14: CRDTs and Distributed Consensus with Christopher Meiklejohn


CRDTs, Conflict Resolution, and Distributed Consensus in Real World Systems (Interview)


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 2018-01-15  45m
 
 

episode 13: Citus Data: Distributed PostGreSQL for Big Data with Ozgun Erdogan and Craig Kerstiens


Scaling PostGreSQL for Big Data and Parallel Execution with Citus Data (Interview)


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 2018-01-08  46m
 
 

episode 12: Wallaroo with Sean T. Allen


Fast and Scalable Real-Time Stream Computation with Wallaroo (Interview)


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 2017-12-25  59m