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