Data Engineering Podcast

Un podcast de Tobias Macey - Les dimanches

Les dimanches

Catégories:

419 Épisodes

  1. Eliminate Friction In Your Data Platform Through Unified Metadata Using OpenMetadata

    Publié: 10/11/2021
  2. Business Intelligence Beyond The Dashboard With ClicData

    Publié: 06/11/2021
  3. Exploring The Evolution And Adoption of Customer Data Platforms and Reverse ETL

    Publié: 05/11/2021
  4. Removing The Barrier To Exploratory Analytics with Activity Schema and Narrator

    Publié: 29/10/2021
  5. Streaming Data Pipelines Made SQL With Decodable

    Publié: 29/10/2021
  6. Data Exploration For Business Users Powered By Analytics Engineering With Lightdash

    Publié: 23/10/2021
  7. Completing The Feedback Loop Of Data Through Operational Analytics With Census

    Publié: 21/10/2021
  8. Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data

    Publié: 16/10/2021
  9. How And Why To Become Data Driven As A Business

    Publié: 14/10/2021
  10. Make Your Business Metrics Reusable With Open Source Headless BI Using Metriql

    Publié: 08/10/2021
  11. Adding Support For Distributed Transactions To The Redpanda Streaming Engine

    Publié: 06/10/2021
  12. Building Real-Time Data Platforms For Large Volumes Of Information With Aerospike

    Publié: 02/10/2021
  13. Delivering Your Personal Data Cloud With Prifina

    Publié: 30/09/2021
  14. Digging Into Data Reliability Engineering

    Publié: 26/09/2021
  15. Massively Parallel Data Processing In Python Without The Effort Using Bodo

    Publié: 25/09/2021
  16. Declarative Machine Learning Without The Operational Overhead Using Continual

    Publié: 19/09/2021
  17. An Exploration Of The Data Engineering Requirements For Bioinformatics

    Publié: 19/09/2021
  18. Setting The Stage For The Next Chapter Of The Cassandra Database

    Publié: 12/09/2021
  19. A View From The Round Table Of Gartner's Cool Vendors

    Publié: 09/09/2021
  20. Designing And Building Data Platforms As A Product

    Publié: 04/09/2021

10 / 21

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.

Visit the podcast's native language site