DataTalks.Club

Making Sense of Data Engineering Acronyms and Buzzwords - Natalie Kwong

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We talked about:

  • Natalie’s background
  • Airbyte
  • What is ETL?
  • Why ELT instead of ETL?
  • Transformations
  • How does ELT help analysts be more independent?
  • Data marts and Data warehouses
  • Ingestion DB
  • ETL vs ELT
  • Data lakes
  • Data swamps
  • Data governance
  • Ingestion layer vs Data lake
  • Do you need both a Data warehouse and a Data lake?
  • Airbyte and ELT
  • Modern data stack
  • Reverse ETL
  • Is drag-and-drop killing data engineering jobs?
  • Who is responsible for managing unused data?
  • CDC – Change Data Capture
  • Slowly changing dimension
  • Are there cases where ETL is preferable over ELT?
  • Why is Airbyte open source?
  • The case of Elasticsearch and AWS


    • Links:

    • Natalie's LinkedIn: https://www.linkedin.com/in/nataliekwong/
    • https://airbyte.io/blog/why-the-future-of-etl-is-not-elt-but-el



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