Data Engineering Podcast

Un pódcast de Tobias Macey - Domingos

Domingos

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419 Episodo

  1. Presto Powered Cloud Data Lakes At Speed Made Easy With Ahana

    Publicado: 2/9/2021
  2. Do Away With Data Integration Through A Dataware Architecture With Cinchy

    Publicado: 28/8/2021
  3. Decoupling Data Operations From Data Infrastructure Using Nexla

    Publicado: 25/8/2021
  4. Let Your Analysts Build A Data Lakehouse With Cuelake

    Publicado: 21/8/2021
  5. Migrate And Modify Your Data Platform Confidently With Compilerworks

    Publicado: 18/8/2021
  6. Prepare Your Unstructured Data For Machine Learning And Computer Vision Without The Toil Using Activeloop

    Publicado: 15/8/2021
  7. Build Trust In Your Data By Understanding Where It Comes From And How It Is Used With Stemma

    Publicado: 10/8/2021
  8. Data Discovery From Dashboards To Databases With Castor

    Publicado: 7/8/2021
  9. Charting A Path For Streaming Data To Fill Your Data Lake With Hudi

    Publicado: 3/8/2021
  10. Adding Context And Comprehension To Your Analytics Through Data Discovery With SelectStar

    Publicado: 31/7/2021
  11. Building a Multi-Tenant Managed Platform For Streaming Data With Pulsar at Datastax

    Publicado: 28/7/2021
  12. Bringing The Metrics Layer To The Masses With Transform

    Publicado: 23/7/2021
  13. Strategies For Proactive Data Quality Management

    Publicado: 20/7/2021
  14. Low Code And High Quality Data Engineering For The Whole Organization With Prophecy

    Publicado: 16/7/2021
  15. Exploring The Design And Benefits Of The Modern Data Stack

    Publicado: 13/7/2021
  16. Democratize Data Cleaning Across Your Organization With Trifacta

    Publicado: 9/7/2021
  17. Stick All Of Your Systems And Data Together With SaaSGlue As Your Workflow Manager

    Publicado: 5/7/2021
  18. Leveling Up Open Source Data Integration With Meltano Hub And The Singer SDK

    Publicado: 3/7/2021
  19. A Candid Exploration Of Timeseries Data Analysis With InfluxDB

    Publicado: 29/6/2021
  20. Lessons Learned From The Pipeline Data Engineering Academy

    Publicado: 26/6/2021

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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.

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