Data Engineering Podcast

En podcast av Tobias Macey - Söndagar

Söndagar

Kategorier:

419 Avsnitt

  1. Building And Managing Data Teams And Data Platforms In Large Organizations With Ashish Mrig

    Publicerades: 2022-01-23
  2. Automated Data Quality Management Through Machine Learning With Anomalo

    Publicerades: 2022-01-15
  3. An Introduction To Data And Analytics Engineering For Non-Programmers

    Publicerades: 2022-01-15
  4. Open Source Reverse ETL For Everyone With Grouparoo

    Publicerades: 2022-01-08
  5. Data Observability Out Of The Box With Metaplane

    Publicerades: 2022-01-08
  6. Creating Shared Context For Your Data Warehouse With A Controlled Vocabulary

    Publicerades: 2022-01-02
  7. A Reflection On The Data Ecosystem For The Year 2021

    Publicerades: 2022-01-02
  8. Revisiting The Technical And Social Benefits Of The Data Mesh

    Publicerades: 2021-12-27
  9. Exploring The Evolving Role Of Data Engineers

    Publicerades: 2021-12-27
  10. Fast And Flexible Headless Data Analytics With Cube.JS

    Publicerades: 2021-12-21
  11. Building A System Of Record For Your Organization's Data Ecosystem At Metaphor

    Publicerades: 2021-12-20
  12. Building Auditable Spark Pipelines At Capital One

    Publicerades: 2021-12-13
  13. Deliver Personal Experiences In Your Applications With The Unomi Open Source Customer Data Platform

    Publicerades: 2021-12-12
  14. Data Driven Hiring For Data Professionals With Alooba

    Publicerades: 2021-12-04
  15. Experimentation and A/B Testing For Modern Data Teams With Eppo

    Publicerades: 2021-12-04
  16. Creating A Unified Experience For The Modern Data Stack At Mozart Data

    Publicerades: 2021-11-27
  17. Doing DataOps For External Data Sources As A Service at Demyst

    Publicerades: 2021-11-27
  18. Exploring Processing Patterns For Streaming Data Integration In Your Data Lake

    Publicerades: 2021-11-20
  19. Laying The Foundation Of Your Data Platform For The Era Of Big Complexity With Dagster

    Publicerades: 2021-11-20
  20. Data Quality Starts At The Source

    Publicerades: 2021-11-14

9 / 21

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.

Visit the podcast's native language site