Data Engineering Podcast
En podcast av Tobias Macey - Söndagar
Kategorier:
419 Avsnitt
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Building And Managing Data Teams And Data Platforms In Large Organizations With Ashish Mrig
Publicerades: 2022-01-23 -
Automated Data Quality Management Through Machine Learning With Anomalo
Publicerades: 2022-01-15 -
An Introduction To Data And Analytics Engineering For Non-Programmers
Publicerades: 2022-01-15 -
Open Source Reverse ETL For Everyone With Grouparoo
Publicerades: 2022-01-08 -
Data Observability Out Of The Box With Metaplane
Publicerades: 2022-01-08 -
Creating Shared Context For Your Data Warehouse With A Controlled Vocabulary
Publicerades: 2022-01-02 -
A Reflection On The Data Ecosystem For The Year 2021
Publicerades: 2022-01-02 -
Revisiting The Technical And Social Benefits Of The Data Mesh
Publicerades: 2021-12-27 -
Exploring The Evolving Role Of Data Engineers
Publicerades: 2021-12-27 -
Fast And Flexible Headless Data Analytics With Cube.JS
Publicerades: 2021-12-21 -
Building A System Of Record For Your Organization's Data Ecosystem At Metaphor
Publicerades: 2021-12-20 -
Building Auditable Spark Pipelines At Capital One
Publicerades: 2021-12-13 -
Deliver Personal Experiences In Your Applications With The Unomi Open Source Customer Data Platform
Publicerades: 2021-12-12 -
Data Driven Hiring For Data Professionals With Alooba
Publicerades: 2021-12-04 -
Experimentation and A/B Testing For Modern Data Teams With Eppo
Publicerades: 2021-12-04 -
Creating A Unified Experience For The Modern Data Stack At Mozart Data
Publicerades: 2021-11-27 -
Doing DataOps For External Data Sources As A Service at Demyst
Publicerades: 2021-11-27 -
Exploring Processing Patterns For Streaming Data Integration In Your Data Lake
Publicerades: 2021-11-20 -
Laying The Foundation Of Your Data Platform For The Era Of Big Complexity With Dagster
Publicerades: 2021-11-20 -
Data Quality Starts At The Source
Publicerades: 2021-11-14
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.