419 Episoade

  1. Unpacking Fauna: A Global Scale Cloud Native Database - Episode 78

    Publicat: 22.04.2019
  2. Index Your Big Data With Pilosa For Faster Analytics - Episode 77

    Publicat: 15.04.2019
  3. Serverless Data Pipelines On DataCoral - Episode 76

    Publicat: 08.04.2019
  4. Why Analytics Projects Fail And What To Do About It - Episode 75

    Publicat: 01.04.2019
  5. Building An Enterprise Data Fabric At CluedIn - Episode 74

    Publicat: 25.03.2019
  6. A DataOps vs DevOps Cookoff In The Data Kitchen - Episode 73

    Publicat: 18.03.2019
  7. Customer Analytics At Scale With Segment - Episode 72

    Publicat: 04.03.2019
  8. Deep Learning For Data Engineers - Episode 71

    Publicat: 25.02.2019
  9. The Alluxio Distributed Storage System - Episode 70

    Publicat: 19.02.2019
  10. Building Machine Learning Projects In The Enterprise - Episode 69

    Publicat: 11.02.2019
  11. Cleaning And Curating Open Data For Archaeology - Episode 68

    Publicat: 04.02.2019
  12. Managing Database Access Control For Teams With strongDM - Episode 67

    Publicat: 29.01.2019
  13. Building Enterprise Big Data Systems At LEGO - Episode 66

    Publicat: 21.01.2019
  14. TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65

    Publicat: 14.01.2019
  15. Performing Fast Data Analytics Using Apache Kudu - Episode 64

    Publicat: 07.01.2019
  16. Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63

    Publicat: 31.12.2018
  17. Continuously Query Your Time-Series Data Using PipelineDB with Derek Nelson and Usman Masood - Episode 62

    Publicat: 24.12.2018
  18. Advice On Scaling Your Data Pipeline Alongside Your Business with Christian Heinzmann - Episode 61

    Publicat: 17.12.2018
  19. Putting Apache Spark Into Action with Jean Georges Perrin - Episode 60

    Publicat: 10.12.2018
  20. Apache Zookeeper As A Building Block For Distributed Systems with Patrick Hunt - Episode 59

    Publicat: 03.12.2018

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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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