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