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