57 min listen
Making Sense of Data Engineering Acronyms and Buzzwords - Natalie Kwong
FromDataTalks.Club
ratings:
Length:
60 minutes
Released:
Sep 11, 2021
Format:
Podcast episode
Description
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
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
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
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html
Released:
Sep 11, 2021
Format:
Podcast episode
Titles in the series (100)
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