Data Engineering Podcast
Podcast autorstwa Tobias Macey - Niedziele
Kategorie:
419 Odcinki
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Leveraging Human Intelligence For Better AI At Alegion With Cheryl Martin - Episode 38
Opublikowany: 2.07.2018 -
Package Management And Distribution For Your Data Using Quilt with Kevin Moore - Episode 37
Opublikowany: 25.06.2018 -
User Analytics In Depth At Heap with Dan Robinson - Episode 36
Opublikowany: 17.06.2018 -
CockroachDB In Depth with Peter Mattis - Episode 35
Opublikowany: 11.06.2018 -
ArangoDB: Fast, Scalable, and Multi-Model Data Storage with Jan Steeman and Jan Stücke - Episode 34
Opublikowany: 4.06.2018 -
The Alooma Data Pipeline With CTO Yair Weinberger - Episode 33
Opublikowany: 28.05.2018 -
PrestoDB and Starburst Data with Kamil Bajda-Pawlikowski - Episode 32
Opublikowany: 21.05.2018 -
Brief Conversations From The Open Data Science Conference: Part 2 - Episode 31
Opublikowany: 14.05.2018 -
Brief Conversations From The Open Data Science Conference: Part 1 - Episode 30
Opublikowany: 7.05.2018 -
Metabase Self Service Business Intelligence with Sameer Al-Sakran - Episode 29
Opublikowany: 30.04.2018 -
Octopai: Metadata Management for Better Business Intelligence with Amnon Drori - Episode 28
Opublikowany: 23.04.2018 -
Data Engineering Weekly with Joe Crobak - Episode 27
Opublikowany: 15.04.2018 -
Defining DataOps with Chris Bergh - Episode 26
Opublikowany: 8.04.2018 -
ThreatStack: Data Driven Cloud Security with Pete Cheslock and Patrick Cable - Episode 25
Opublikowany: 1.04.2018 -
MarketStore: Managing Timeseries Financial Data with Hitoshi Harada and Christopher Ryan - Episode 24
Opublikowany: 25.03.2018 -
Stretching The Elastic Stack with Philipp Krenn - Episode 23
Opublikowany: 19.03.2018 -
Database Refactoring Patterns with Pramod Sadalage - Episode 22
Opublikowany: 12.03.2018 -
The Future Data Economy with Roger Chen - Episode 21
Opublikowany: 5.03.2018 -
Honeycomb Data Infrastructure with Sam Stokes - Episode 20
Opublikowany: 26.02.2018 -
Data Teams with Will McGinnis - Episode 19
Opublikowany: 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.