Data Engineering Podcast

Een podcast door Tobias Macey - Zondagen

Zondagen

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419 Afleveringen

  1. TimescaleDB: Fast And Scalable Timeseries with Ajay Kulkarni and Mike Freedman - Episode 18

    Gepubliceerd: 11-2-2018
  2. Pulsar: Fast And Scalable Messaging with Rajan Dhabalia and Matteo Merli - Episode 17

    Gepubliceerd: 4-2-2018
  3. Dat: Distributed Versioned Data Sharing with Danielle Robinson and Joe Hand - Episode 16

    Gepubliceerd: 29-1-2018
  4. Snorkel: Extracting Value From Dark Data with Alex Ratner - Episode 15

    Gepubliceerd: 22-1-2018
  5. CRDTs and Distributed Consensus with Christopher Meiklejohn - Episode 14

    Gepubliceerd: 15-1-2018
  6. Citus Data: Distributed PostGreSQL for Big Data with Ozgun Erdogan and Craig Kerstiens - Episode 13

    Gepubliceerd: 8-1-2018
  7. Wallaroo with Sean T. Allen - Episode 12

    Gepubliceerd: 25-12-2017
  8. SiriDB: Scalable Open Source Timeseries Database with Jeroen van der Heijden - Episode 11

    Gepubliceerd: 18-12-2017
  9. Confluent Schema Registry with Ewen Cheslack-Postava - Episode 10

    Gepubliceerd: 10-12-2017
  10. data.world with Bryon Jacob - Episode 9

    Gepubliceerd: 3-12-2017
  11. Data Serialization Formats with Doug Cutting and Julien Le Dem - Episode 8

    Gepubliceerd: 22-11-2017
  12. Buzzfeed Data Infrastructure with Walter Menendez - Episode 7

    Gepubliceerd: 14-11-2017
  13. Astronomer with Ry Walker - Episode 6

    Gepubliceerd: 6-8-2017
  14. Rebuilding Yelp's Data Pipeline with Justin Cunningham - Episode 5

    Gepubliceerd: 18-6-2017
  15. ScyllaDB with Eyal Gutkind - Episode 4

    Gepubliceerd: 18-3-2017
  16. Defining Data Engineering with Maxime Beauchemin - Episode 3

    Gepubliceerd: 5-3-2017
  17. Dask with Matthew Rocklin - Episode 2

    Gepubliceerd: 22-1-2017
  18. Pachyderm with Daniel Whitenack - Episode 1

    Gepubliceerd: 14-1-2017
  19. Introducing The Show - Episode 0

    Gepubliceerd: 8-1-2017

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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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