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.

Eine durchschnittliche Folge dieses Podcasts dauert 48m. Bisher sind 104 Folge(n) erschienen. Jede Woche gibt es eine neue Folge dieses Podcasts


episode 23: Stretching The Elastic Stack with Philipp Krenn

Exploring The Elastic Stack: From Text Search To Metrics Platform (Interview)


 2018-03-19  51m

episode 22: Database Refactoring Patterns with Pramod Sadalage

Evolutionary Database Design and Refactoring (Interview)


 2018-03-12  49m

episode 21: The Future Data Economy with Roger Chen

Data Liquidity In The AI Economy (Interview)


 2018-03-05  42m

episode 20: Honeycomb Data Infrastructure with Sam Stokes

Event Data Infrastructure at (Interview)


 2018-02-26  41m

episode 19: Data Teams with Will McGinnis

How Data Teams Work Together (Interview)


 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)


 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)


 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)


 2018-01-29  1h2m

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

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


 2018-01-22  37m

episode 14: CRDTs and Distributed Consensus with Christopher Meiklejohn

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


 2018-01-15  45m