Data Engineering Podcast
Podcast autorstwa Tobias Macey - Niedziele
Kategorie:
419 Odcinki
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Building And Managing Data Teams And Data Platforms In Large Organizations With Ashish Mrig
Opublikowany: 23.01.2022 -
Automated Data Quality Management Through Machine Learning With Anomalo
Opublikowany: 15.01.2022 -
An Introduction To Data And Analytics Engineering For Non-Programmers
Opublikowany: 15.01.2022 -
Open Source Reverse ETL For Everyone With Grouparoo
Opublikowany: 8.01.2022 -
Data Observability Out Of The Box With Metaplane
Opublikowany: 8.01.2022 -
Creating Shared Context For Your Data Warehouse With A Controlled Vocabulary
Opublikowany: 2.01.2022 -
A Reflection On The Data Ecosystem For The Year 2021
Opublikowany: 2.01.2022 -
Revisiting The Technical And Social Benefits Of The Data Mesh
Opublikowany: 27.12.2021 -
Exploring The Evolving Role Of Data Engineers
Opublikowany: 27.12.2021 -
Fast And Flexible Headless Data Analytics With Cube.JS
Opublikowany: 21.12.2021 -
Building A System Of Record For Your Organization's Data Ecosystem At Metaphor
Opublikowany: 20.12.2021 -
Building Auditable Spark Pipelines At Capital One
Opublikowany: 13.12.2021 -
Deliver Personal Experiences In Your Applications With The Unomi Open Source Customer Data Platform
Opublikowany: 12.12.2021 -
Data Driven Hiring For Data Professionals With Alooba
Opublikowany: 4.12.2021 -
Experimentation and A/B Testing For Modern Data Teams With Eppo
Opublikowany: 4.12.2021 -
Creating A Unified Experience For The Modern Data Stack At Mozart Data
Opublikowany: 27.11.2021 -
Doing DataOps For External Data Sources As A Service at Demyst
Opublikowany: 27.11.2021 -
Exploring Processing Patterns For Streaming Data Integration In Your Data Lake
Opublikowany: 20.11.2021 -
Laying The Foundation Of Your Data Platform For The Era Of Big Complexity With Dagster
Opublikowany: 20.11.2021 -
Data Quality Starts At The Source
Opublikowany: 14.11.2021
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.