Data Engineering Podcast
A podcast by Tobias Macey - Domenica
Categorie:
419 Episodio
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The Benefits And Challenges Of Building A Data Trust - Episode 118
Pubblicato: 03/02/2020 -
Pay Down Technical Debt In Your Data Pipeline With Great Expectations - Episode 117
Pubblicato: 27/01/2020 -
Replatforming Production Dataflows - Episode 116
Pubblicato: 20/01/2020 -
Planet Scale SQL For The New Generation Of Applications - Episode 115
Pubblicato: 13/01/2020 -
Change Data Capture For All Of Your Databases With Debezium - Episode 114
Pubblicato: 06/01/2020 -
Building The DataDog Platform For Processing Timeseries Data At Massive Scale - Episode 113
Pubblicato: 30/12/2019 -
Building The Materialize Engine For Interactive Streaming Analytics In SQL - Episode 112
Pubblicato: 23/12/2019 -
Solving Data Lineage Tracking And Data Discovery At WeWork - Episode 111
Pubblicato: 16/12/2019 -
SnowflakeDB: The Data Warehouse Built For The Cloud - Episode 110
Pubblicato: 09/12/2019 -
Organizing And Empowering Data Engineers At Citadel - Episode 109
Pubblicato: 03/12/2019 -
Building A Real Time Event Data Warehouse For Sentry - Episode 108
Pubblicato: 26/11/2019 -
Escaping Analysis Paralysis For Your Data Platform With Data Virtualization - Episode 107
Pubblicato: 18/11/2019 -
Designing For Data Protection - Episode 106
Pubblicato: 11/11/2019 -
Automating Your Production Dataflows On Spark - Episode 105
Pubblicato: 04/11/2019 -
Build Maintainable And Testable Data Applications With Dagster - Episode 104
Pubblicato: 28/10/2019 -
Data Orchestration For Hybrid Cloud Analytics - Episode 103
Pubblicato: 22/10/2019 -
Keeping Your Data Warehouse In Order - Episode 102
Pubblicato: 15/10/2019 -
Fast Analytics On Semi-Structured And Structured Data In The Cloud - Episode 101
Pubblicato: 08/10/2019 -
Ship Faster With An Opinionated Data Pipeline Framework - Episode 100
Pubblicato: 01/10/2019 -
Open Source Object Storage For All Of Your Data - Episode 99
Pubblicato: 23/09/2019
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.