Data Engineering Podcast

Un podcast de Tobias Macey - Les dimanches

Les dimanches

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419 Épisodes

  1. Navigating Boundless Data Streams With The Swim Kernel - Episode 98

    Publié: 18/09/2019
  2. Building A Reliable And Performant Router For Observability Data - Episode 97

    Publié: 10/09/2019
  3. Building A Community For Data Professionals at Data Council - Episode 96

    Publié: 02/09/2019
  4. Building Tools And Platforms For Data Analytics - Episode 95

    Publié: 26/08/2019
  5. A High Performance Platform For The Full Big Data Lifecycle - Episode 94

    Publié: 19/08/2019
  6. Digging Into Data Replication At Fivetran - Episode 93

    Publié: 12/08/2019
  7. Solving Data Discovery At Lyft - Episode 92

    Publié: 05/08/2019
  8. Simplifying Data Integration Through Eventual Connectivity - Episode 91

    Publié: 29/07/2019
  9. Straining Your Data Lake Through A Data Mesh - Episode 90

    Publié: 22/07/2019
  10. Data Labeling That You Can Feel Good About - Episode 89

    Publié: 15/07/2019
  11. Scale Your Analytics On The Clickhouse Data Warehouse - Episode 88

    Publié: 08/07/2019
  12. Stress Testing Kafka And Cassandra For Real-Time Anomaly Detection - Episode 87

    Publié: 02/07/2019
  13. The Workflow Engine For Data Engineers And Data Scientists - Episode 86

    Publié: 25/06/2019
  14. Maintaining Your Data Lake At Scale With Spark - Episode 85

    Publié: 17/06/2019
  15. Managing The Machine Learning Lifecycle - Episode 84

    Publié: 10/06/2019
  16. Evolving An ETL Pipeline For Better Productivity - Episode 83

    Publié: 04/06/2019
  17. Data Lineage For Your Pipelines - Episode 82

    Publié: 27/05/2019
  18. Build Your Data Analytics Like An Engineer - Episode 81

    Publié: 20/05/2019
  19. Using FoundationDB As The Bedrock For Your Distributed Systems - Episode 80

    Publié: 07/05/2019
  20. Running Your Database On Kubernetes With KubeDB - Episode 79

    Publié: 29/04/2019

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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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