Data management is going to separate those that excel in the next decade versus those that fall behind.

But in order to understand where things are headed, we need to understand how we got here.

In this video I want to talk about how things have evolved in data engineering over the last two decades.

We'll also discuss some of the common job titles in the industry today and where things may be headed.

▬▬▬▬▬▬ LET'S WORK TOGETHER ▬▬▬▬▬▬
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▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
0:00 - Intro
0:35 - History of Data Engineering
5:52 - Comparison to Other Jobs
6:54 - Looking Ahead

▬▬▬▬▬▬ Useful Links ▬▬▬▬▬▬
► https://www.phdata.io/blog/what-is-data-engineering/
► https://www.coursera.org/articles/what-does-a-data-engineer-do-and-how-do-i-become-one
► https://towardsdatascience.com/the-future-of-the-data-engineer-4dcfa53800ab
► https://www.rudderstack.com/blog/the-data-engineering-megatrend-a-brief-history/
► https://www.getdbt.com/what-is-analytics-engineering/
► http://marketing.dice.com/pdf/2020/Dice_2020_Tech_Job_Report.pdf

▬▬▬▬▬▬ 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


A Brief History of Data Engineering // What is Data Engineering? // Data Engineering for Beginners
#kahandatasolutions #dataengineering #dataops