Thriving data cultures prioritize inclusion, collaboration, and transparency over command and control. They work iteratively vs. trying to "boil the ocean." But of course, this is easier said than done, right?
Dec 2022 How to fuel innovation with agile data governance
ETL (Extract Transform and Load) was the SOP for data integration for 25+ years. A decade ago the introduction of data lakes pushed transformation to the end of the process and into tools like Snowflake, BigQuery, and Redshift. Now the latest chatter in the data management industry is Reverse ETL. Shouldn’t we call this LTE?
Join Tim, Juan and special guest Tejas Manohar, CEO of Hightouch for a conversation about Reverse ETL and why it matters now.
The evolution of data integration pipelines
Use cases for Reverse ETL
What other acronyms make you smh?
Reverse ETL is more for "business people," while “normal ETL” is for data engineers.
Governance is still important to get the most value out of processes
Reverse ETL - moving data from the data warehouse back to your applications
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