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