Data Engineering Podcast
Un podcast de Tobias Macey - Les dimanches
Catégories:
419 Épisodes
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Leveraging Human Intelligence For Better AI At Alegion With Cheryl Martin - Episode 38
Publié: 02/07/2018 -
Package Management And Distribution For Your Data Using Quilt with Kevin Moore - Episode 37
Publié: 25/06/2018 -
User Analytics In Depth At Heap with Dan Robinson - Episode 36
Publié: 17/06/2018 -
CockroachDB In Depth with Peter Mattis - Episode 35
Publié: 11/06/2018 -
ArangoDB: Fast, Scalable, and Multi-Model Data Storage with Jan Steeman and Jan Stücke - Episode 34
Publié: 04/06/2018 -
The Alooma Data Pipeline With CTO Yair Weinberger - Episode 33
Publié: 28/05/2018 -
PrestoDB and Starburst Data with Kamil Bajda-Pawlikowski - Episode 32
Publié: 21/05/2018 -
Brief Conversations From The Open Data Science Conference: Part 2 - Episode 31
Publié: 14/05/2018 -
Brief Conversations From The Open Data Science Conference: Part 1 - Episode 30
Publié: 07/05/2018 -
Metabase Self Service Business Intelligence with Sameer Al-Sakran - Episode 29
Publié: 30/04/2018 -
Octopai: Metadata Management for Better Business Intelligence with Amnon Drori - Episode 28
Publié: 23/04/2018 -
Data Engineering Weekly with Joe Crobak - Episode 27
Publié: 15/04/2018 -
Defining DataOps with Chris Bergh - Episode 26
Publié: 08/04/2018 -
ThreatStack: Data Driven Cloud Security with Pete Cheslock and Patrick Cable - Episode 25
Publié: 01/04/2018 -
MarketStore: Managing Timeseries Financial Data with Hitoshi Harada and Christopher Ryan - Episode 24
Publié: 25/03/2018 -
Stretching The Elastic Stack with Philipp Krenn - Episode 23
Publié: 19/03/2018 -
Database Refactoring Patterns with Pramod Sadalage - Episode 22
Publié: 12/03/2018 -
The Future Data Economy with Roger Chen - Episode 21
Publié: 05/03/2018 -
Honeycomb Data Infrastructure with Sam Stokes - Episode 20
Publié: 26/02/2018 -
Data Teams with Will McGinnis - Episode 19
Publié: 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.