Data Engineering Podcast
En podkast av Tobias Macey - Søndager
Kategorier:
419 Episoder
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Leveraging Human Intelligence For Better AI At Alegion With Cheryl Martin - Episode 38
Publisert: 2.7.2018 -
Package Management And Distribution For Your Data Using Quilt with Kevin Moore - Episode 37
Publisert: 25.6.2018 -
User Analytics In Depth At Heap with Dan Robinson - Episode 36
Publisert: 17.6.2018 -
CockroachDB In Depth with Peter Mattis - Episode 35
Publisert: 11.6.2018 -
ArangoDB: Fast, Scalable, and Multi-Model Data Storage with Jan Steeman and Jan Stücke - Episode 34
Publisert: 4.6.2018 -
The Alooma Data Pipeline With CTO Yair Weinberger - Episode 33
Publisert: 28.5.2018 -
PrestoDB and Starburst Data with Kamil Bajda-Pawlikowski - Episode 32
Publisert: 21.5.2018 -
Brief Conversations From The Open Data Science Conference: Part 2 - Episode 31
Publisert: 14.5.2018 -
Brief Conversations From The Open Data Science Conference: Part 1 - Episode 30
Publisert: 7.5.2018 -
Metabase Self Service Business Intelligence with Sameer Al-Sakran - Episode 29
Publisert: 30.4.2018 -
Octopai: Metadata Management for Better Business Intelligence with Amnon Drori - Episode 28
Publisert: 23.4.2018 -
Data Engineering Weekly with Joe Crobak - Episode 27
Publisert: 15.4.2018 -
Defining DataOps with Chris Bergh - Episode 26
Publisert: 8.4.2018 -
ThreatStack: Data Driven Cloud Security with Pete Cheslock and Patrick Cable - Episode 25
Publisert: 1.4.2018 -
MarketStore: Managing Timeseries Financial Data with Hitoshi Harada and Christopher Ryan - Episode 24
Publisert: 25.3.2018 -
Stretching The Elastic Stack with Philipp Krenn - Episode 23
Publisert: 19.3.2018 -
Database Refactoring Patterns with Pramod Sadalage - Episode 22
Publisert: 12.3.2018 -
The Future Data Economy with Roger Chen - Episode 21
Publisert: 5.3.2018 -
Honeycomb Data Infrastructure with Sam Stokes - Episode 20
Publisert: 26.2.2018 -
Data Teams with Will McGinnis - Episode 19
Publisert: 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.