Data Engineering Podcast

En podcast af Tobias Macey - Søndage

Kategorier:

419 Episoder

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

    Udgivet: 2.9.2021
  2. Do Away With Data Integration Through A Dataware Architecture With Cinchy

    Udgivet: 28.8.2021
  3. Decoupling Data Operations From Data Infrastructure Using Nexla

    Udgivet: 25.8.2021
  4. Let Your Analysts Build A Data Lakehouse With Cuelake

    Udgivet: 21.8.2021
  5. Migrate And Modify Your Data Platform Confidently With Compilerworks

    Udgivet: 18.8.2021
  6. Prepare Your Unstructured Data For Machine Learning And Computer Vision Without The Toil Using Activeloop

    Udgivet: 15.8.2021
  7. Build Trust In Your Data By Understanding Where It Comes From And How It Is Used With Stemma

    Udgivet: 10.8.2021
  8. Data Discovery From Dashboards To Databases With Castor

    Udgivet: 7.8.2021
  9. Charting A Path For Streaming Data To Fill Your Data Lake With Hudi

    Udgivet: 3.8.2021
  10. Adding Context And Comprehension To Your Analytics Through Data Discovery With SelectStar

    Udgivet: 31.7.2021
  11. Building a Multi-Tenant Managed Platform For Streaming Data With Pulsar at Datastax

    Udgivet: 28.7.2021
  12. Bringing The Metrics Layer To The Masses With Transform

    Udgivet: 23.7.2021
  13. Strategies For Proactive Data Quality Management

    Udgivet: 20.7.2021
  14. Low Code And High Quality Data Engineering For The Whole Organization With Prophecy

    Udgivet: 16.7.2021
  15. Exploring The Design And Benefits Of The Modern Data Stack

    Udgivet: 13.7.2021
  16. Democratize Data Cleaning Across Your Organization With Trifacta

    Udgivet: 9.7.2021
  17. Stick All Of Your Systems And Data Together With SaaSGlue As Your Workflow Manager

    Udgivet: 5.7.2021
  18. Leveling Up Open Source Data Integration With Meltano Hub And The Singer SDK

    Udgivet: 3.7.2021
  19. A Candid Exploration Of Timeseries Data Analysis With InfluxDB

    Udgivet: 29.6.2021
  20. Lessons Learned From The Pipeline Data Engineering Academy

    Udgivet: 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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