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