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How my Snowflake Powered Lead Distro Test Turned Out to be Reverse ETL

Snowflake Cloud Data Pipelines for Reverse ETL

A year ago, I worked on a small project to help us improve our data driven funnel. I learned what I called “Snowflake to Salesforce analytics sync” had a more buzzworthy term called “Reverse ETL.” This article shares some of the lessons learned along the way and some thoughts about where reverse ETL is headed.

Low Level of Effort Solution

All of the data and metrics were already available and calculated in Snowflake for reporting, so the process to push those measurements back into a Salesforce object using Azure Data Factory was quite simple.

The transformation work was prepared using Datameer on top of Snowflake which I had previously written about: Slice Through your Snowflake Data like a Buzzsaw with Datameer

Creating Snowflake UDFs with ChatGPT: A Guide for Analysts

Chat GPT Snowflake UDF Developer Chat GPT Bot

As data analysts, we often find ourselves needing specialized functions in Snowflake. Working in Financial services, there are specific Excel functions that provide significant value. I had a need but developer resources were not readily available… Until ChatGPT changed everything!

Now, with the help of ChatGPT even non-developers can prototype and experiment and contribute powerful capabilities. For Snowflake User Defined Functions (UDFs) in particular, ChatGPT is a game changing resource for self paced learning, debugging, and translating existing concepts and patterns you know into Snowflake.