Data Engineering Podcast
A podcast by Tobias Macey - Duminică
419 Episoade
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Leveraging Human Intelligence For Better AI At Alegion With Cheryl Martin - Episode 38
Publicat: 02.07.2018 -
Package Management And Distribution For Your Data Using Quilt with Kevin Moore - Episode 37
Publicat: 25.06.2018 -
User Analytics In Depth At Heap with Dan Robinson - Episode 36
Publicat: 17.06.2018 -
CockroachDB In Depth with Peter Mattis - Episode 35
Publicat: 11.06.2018 -
ArangoDB: Fast, Scalable, and Multi-Model Data Storage with Jan Steeman and Jan Stücke - Episode 34
Publicat: 04.06.2018 -
The Alooma Data Pipeline With CTO Yair Weinberger - Episode 33
Publicat: 28.05.2018 -
PrestoDB and Starburst Data with Kamil Bajda-Pawlikowski - Episode 32
Publicat: 21.05.2018 -
Brief Conversations From The Open Data Science Conference: Part 2 - Episode 31
Publicat: 14.05.2018 -
Brief Conversations From The Open Data Science Conference: Part 1 - Episode 30
Publicat: 07.05.2018 -
Metabase Self Service Business Intelligence with Sameer Al-Sakran - Episode 29
Publicat: 30.04.2018 -
Octopai: Metadata Management for Better Business Intelligence with Amnon Drori - Episode 28
Publicat: 23.04.2018 -
Data Engineering Weekly with Joe Crobak - Episode 27
Publicat: 15.04.2018 -
Defining DataOps with Chris Bergh - Episode 26
Publicat: 08.04.2018 -
ThreatStack: Data Driven Cloud Security with Pete Cheslock and Patrick Cable - Episode 25
Publicat: 01.04.2018 -
MarketStore: Managing Timeseries Financial Data with Hitoshi Harada and Christopher Ryan - Episode 24
Publicat: 25.03.2018 -
Stretching The Elastic Stack with Philipp Krenn - Episode 23
Publicat: 19.03.2018 -
Database Refactoring Patterns with Pramod Sadalage - Episode 22
Publicat: 12.03.2018 -
The Future Data Economy with Roger Chen - Episode 21
Publicat: 05.03.2018 -
Honeycomb Data Infrastructure with Sam Stokes - Episode 20
Publicat: 26.02.2018 -
Data Teams with Will McGinnis - Episode 19
Publicat: 19.02.2018
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.
