From the course: Intro to Snowflake for Devs, Data Scientists, Data Engineers
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Snowflake data engineering overview: Part 1 - Snowflake Tutorial
From the course: Intro to Snowflake for Devs, Data Scientists, Data Engineers
Snowflake data engineering overview: Part 1
- I was never a data engineer. I was a data scientist. But back when I was a data scientist, data engineers saved my life so many times by helping undo mistakes I've made or by creating high quality tables for me to use. When data engineers are around, I feel warm and safe, like everything is going to be okay. I don't drink alcohol, but if I did and a data engineer were sitting right here next to me, I would raise my glass to that data engineer and say, "Data engineer, I dedicate this video to you." So, it's with a great deal of respect that I now cover how Snowflake supports data engineering workloads. You might recall that in the video on Snowpark DataFrames, we talked very briefly about the ITD framework where the I, T, and D stand for ingestion, transformation and delivery. Here we're going to focus on ingestion and transformation. We're not going to talk about the delivery part. And we're going to add in two other subjects we haven't explicitly covered in much detail yet, but are…
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