Data Engineering Podcast

En podcast af Tobias Macey - Søndage

Kategorier:

419 Episoder

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

    Udgivet: 22.4.2019
  2. Index Your Big Data With Pilosa For Faster Analytics - Episode 77

    Udgivet: 15.4.2019
  3. Serverless Data Pipelines On DataCoral - Episode 76

    Udgivet: 8.4.2019
  4. Why Analytics Projects Fail And What To Do About It - Episode 75

    Udgivet: 1.4.2019
  5. Building An Enterprise Data Fabric At CluedIn - Episode 74

    Udgivet: 25.3.2019
  6. A DataOps vs DevOps Cookoff In The Data Kitchen - Episode 73

    Udgivet: 18.3.2019
  7. Customer Analytics At Scale With Segment - Episode 72

    Udgivet: 4.3.2019
  8. Deep Learning For Data Engineers - Episode 71

    Udgivet: 25.2.2019
  9. The Alluxio Distributed Storage System - Episode 70

    Udgivet: 19.2.2019
  10. Building Machine Learning Projects In The Enterprise - Episode 69

    Udgivet: 11.2.2019
  11. Cleaning And Curating Open Data For Archaeology - Episode 68

    Udgivet: 4.2.2019
  12. Managing Database Access Control For Teams With strongDM - Episode 67

    Udgivet: 29.1.2019
  13. Building Enterprise Big Data Systems At LEGO - Episode 66

    Udgivet: 21.1.2019
  14. TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65

    Udgivet: 14.1.2019
  15. Performing Fast Data Analytics Using Apache Kudu - Episode 64

    Udgivet: 7.1.2019
  16. Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63

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

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

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

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

    Udgivet: 3.12.2018

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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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