Data Engineering Podcast

419 Episodo

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

   Publicado: 23/1/2022
2. Automated Data Quality Management Through Machine Learning With Anomalo

   Publicado: 15/1/2022
3. An Introduction To Data And Analytics Engineering For Non-Programmers

   Publicado: 15/1/2022
4. Open Source Reverse ETL For Everyone With Grouparoo

   Publicado: 8/1/2022
5. Data Observability Out Of The Box With Metaplane

   Publicado: 8/1/2022
6. Creating Shared Context For Your Data Warehouse With A Controlled Vocabulary

   Publicado: 2/1/2022
7. A Reflection On The Data Ecosystem For The Year 2021

   Publicado: 2/1/2022
8. Revisiting The Technical And Social Benefits Of The Data Mesh

   Publicado: 27/12/2021
9. Exploring The Evolving Role Of Data Engineers

   Publicado: 27/12/2021
10. Fast And Flexible Headless Data Analytics With Cube.JS

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

    Publicado: 20/12/2021
12. Building Auditable Spark Pipelines At Capital One

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

    Publicado: 12/12/2021
14. Data Driven Hiring For Data Professionals With Alooba

    Publicado: 4/12/2021
15. Experimentation and A/B Testing For Modern Data Teams With Eppo

    Publicado: 4/12/2021
16. Creating A Unified Experience For The Modern Data Stack At Mozart Data

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

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

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

    Publicado: 20/11/2021
20. Data Quality Starts At The Source

    Publicado: 14/11/2021