Understanding the differences between these two concepts is critical.

These represent two of the most common approaches for designing a data pipeline.

As a data engineer, you'll definitely be expected to know these.

While they are similar, there are some critical differences that you should know.

In this video we will discuss:
- Both ETL and ELT
- Example tools
- Which I would pick (if I were to start from scratch)

By the end you will understand the difference between ETL and ELT and why it is critical for any data engineer.


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▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
00:00 - Intro
00:36 - What is E-T-L
01:38 - What is E-L-T
03:19 - Which is Better?

▬▬▬▬▬▬ Useful Links ▬▬▬▬▬▬
► https://www.qlik.com/us/etl/etl-vs-elt
► https://www.guru99.com/etl-vs-elt.html

▬▬▬▬▬▬ Want to learn more? ▬▬▬▬▬▬
Data-Build-Tool (dbt) ► https://bit.ly/3HCS0ht
Snowflake ► https://bit.ly/3mTpqk0
GitHub ► https://bit.ly/331QnuJ
Terraform ► https://bit.ly/3EV4wam
Power BI ► https://bit.ly/3JGErQ3

▬▬▬▬▬▬ Connect with me ▬▬▬▬▬▬
Twitter ► https://www.twitter.com/kahandata
Newsletter ► https://www.kahandatasolutions.com/blog
Website ► https://www.kahandatasolutions.com


ETL vs ELT | Modern Data Architectures
#kahandatasolutions #dataengineering #dataops