Data Engineering Podcast
Un pódcast de Tobias Macey - Domingos
Categorías:
419 Episodo
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Leveraging Human Intelligence For Better AI At Alegion With Cheryl Martin - Episode 38
Publicado: 2/7/2018 -
Package Management And Distribution For Your Data Using Quilt with Kevin Moore - Episode 37
Publicado: 25/6/2018 -
User Analytics In Depth At Heap with Dan Robinson - Episode 36
Publicado: 17/6/2018 -
CockroachDB In Depth with Peter Mattis - Episode 35
Publicado: 11/6/2018 -
ArangoDB: Fast, Scalable, and Multi-Model Data Storage with Jan Steeman and Jan Stücke - Episode 34
Publicado: 4/6/2018 -
The Alooma Data Pipeline With CTO Yair Weinberger - Episode 33
Publicado: 28/5/2018 -
PrestoDB and Starburst Data with Kamil Bajda-Pawlikowski - Episode 32
Publicado: 21/5/2018 -
Brief Conversations From The Open Data Science Conference: Part 2 - Episode 31
Publicado: 14/5/2018 -
Brief Conversations From The Open Data Science Conference: Part 1 - Episode 30
Publicado: 7/5/2018 -
Metabase Self Service Business Intelligence with Sameer Al-Sakran - Episode 29
Publicado: 30/4/2018 -
Octopai: Metadata Management for Better Business Intelligence with Amnon Drori - Episode 28
Publicado: 23/4/2018 -
Data Engineering Weekly with Joe Crobak - Episode 27
Publicado: 15/4/2018 -
Defining DataOps with Chris Bergh - Episode 26
Publicado: 8/4/2018 -
ThreatStack: Data Driven Cloud Security with Pete Cheslock and Patrick Cable - Episode 25
Publicado: 1/4/2018 -
MarketStore: Managing Timeseries Financial Data with Hitoshi Harada and Christopher Ryan - Episode 24
Publicado: 25/3/2018 -
Stretching The Elastic Stack with Philipp Krenn - Episode 23
Publicado: 19/3/2018 -
Database Refactoring Patterns with Pramod Sadalage - Episode 22
Publicado: 12/3/2018 -
The Future Data Economy with Roger Chen - Episode 21
Publicado: 5/3/2018 -
Honeycomb Data Infrastructure with Sam Stokes - Episode 20
Publicado: 26/2/2018 -
Data Teams with Will McGinnis - Episode 19
Publicado: 19/2/2018
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.