Data Engineering Podcast
A podcast by Tobias Macey - Sundays

Categories:
419 Episodes
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The Benefits And Challenges Of Building A Data Trust - Episode 118
Published: 2/3/2020 -
Pay Down Technical Debt In Your Data Pipeline With Great Expectations - Episode 117
Published: 1/27/2020 -
Replatforming Production Dataflows - Episode 116
Published: 1/20/2020 -
Planet Scale SQL For The New Generation Of Applications - Episode 115
Published: 1/13/2020 -
Change Data Capture For All Of Your Databases With Debezium - Episode 114
Published: 1/6/2020 -
Building The DataDog Platform For Processing Timeseries Data At Massive Scale - Episode 113
Published: 12/30/2019 -
Building The Materialize Engine For Interactive Streaming Analytics In SQL - Episode 112
Published: 12/23/2019 -
Solving Data Lineage Tracking And Data Discovery At WeWork - Episode 111
Published: 12/16/2019 -
SnowflakeDB: The Data Warehouse Built For The Cloud - Episode 110
Published: 12/9/2019 -
Organizing And Empowering Data Engineers At Citadel - Episode 109
Published: 12/3/2019 -
Building A Real Time Event Data Warehouse For Sentry - Episode 108
Published: 11/26/2019 -
Escaping Analysis Paralysis For Your Data Platform With Data Virtualization - Episode 107
Published: 11/18/2019 -
Designing For Data Protection - Episode 106
Published: 11/11/2019 -
Automating Your Production Dataflows On Spark - Episode 105
Published: 11/4/2019 -
Build Maintainable And Testable Data Applications With Dagster - Episode 104
Published: 10/28/2019 -
Data Orchestration For Hybrid Cloud Analytics - Episode 103
Published: 10/22/2019 -
Keeping Your Data Warehouse In Order - Episode 102
Published: 10/15/2019 -
Fast Analytics On Semi-Structured And Structured Data In The Cloud - Episode 101
Published: 10/8/2019 -
Ship Faster With An Opinionated Data Pipeline Framework - Episode 100
Published: 10/1/2019 -
Open Source Object Storage For All Of Your Data - Episode 99
Published: 9/23/2019
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.