Data Engineering Podcast
Ein Podcast von Tobias Macey - Sonntags
419 Folgen
-
The Benefits And Challenges Of Building A Data Trust - Episode 118
Vom: 3.2.2020 -
Pay Down Technical Debt In Your Data Pipeline With Great Expectations - Episode 117
Vom: 27.1.2020 -
Replatforming Production Dataflows - Episode 116
Vom: 20.1.2020 -
Planet Scale SQL For The New Generation Of Applications - Episode 115
Vom: 13.1.2020 -
Change Data Capture For All Of Your Databases With Debezium - Episode 114
Vom: 6.1.2020 -
Building The DataDog Platform For Processing Timeseries Data At Massive Scale - Episode 113
Vom: 30.12.2019 -
Building The Materialize Engine For Interactive Streaming Analytics In SQL - Episode 112
Vom: 23.12.2019 -
Solving Data Lineage Tracking And Data Discovery At WeWork - Episode 111
Vom: 16.12.2019 -
SnowflakeDB: The Data Warehouse Built For The Cloud - Episode 110
Vom: 9.12.2019 -
Organizing And Empowering Data Engineers At Citadel - Episode 109
Vom: 3.12.2019 -
Building A Real Time Event Data Warehouse For Sentry - Episode 108
Vom: 26.11.2019 -
Escaping Analysis Paralysis For Your Data Platform With Data Virtualization - Episode 107
Vom: 18.11.2019 -
Designing For Data Protection - Episode 106
Vom: 11.11.2019 -
Automating Your Production Dataflows On Spark - Episode 105
Vom: 4.11.2019 -
Build Maintainable And Testable Data Applications With Dagster - Episode 104
Vom: 28.10.2019 -
Data Orchestration For Hybrid Cloud Analytics - Episode 103
Vom: 22.10.2019 -
Keeping Your Data Warehouse In Order - Episode 102
Vom: 15.10.2019 -
Fast Analytics On Semi-Structured And Structured Data In The Cloud - Episode 101
Vom: 8.10.2019 -
Ship Faster With An Opinionated Data Pipeline Framework - Episode 100
Vom: 1.10.2019 -
Open Source Object Storage For All Of Your Data - Episode 99
Vom: 23.9.2019
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.