Finish Slime #38

Data Engineering, Analytics. No ML, no AI. The weekly dose of the data content you actually want to read!

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Great Recent Stuff

Why you should not build apps directly on the data warehouse

If you ask a software engineer why he doesn’t build his applications on top of Snowflake, he will likely tell you… that he has no idea what Snowflake is. And there is a reason for that: you should stop building apps on top of data warehouses, seriously.

Would You Become a Data Strategist?

Data Strategists fill a role somewhere between Head of Data, Data Team Lead, and Consultant - always tasked with creating and overseeing the data strategy implementation. 

Secret Snowflake data modeling features you need to know about

Snowflake ain’t just a query engine. You can create virtual columns via SQL statements and do a bunch of other things to manipulate data.

How to be a 10X Data Scientist

Statistics is not dull! That sentence says it all :-D

What you won’t learn from books about data and decision-making

I really enjoy the author's writing for her practicality, and this is what this reading list is all about practical articles help you move forward with data as a decision-making tool.

Psyberg: Automated end to end catch up

Netflix keeps on pushing the boundaries of data engineering, particularly on top of Apache Iceberg, the open table format. This article is all about how Netflix automates end-to-end catch-up operations.

Playing Offense - Data Quality doesn’t start with Contracts

Data contracts have recently been used as a tool to help with data quality. However, as this article points out, true quality starts at the creation of data and a product feature and is hard to fix later on with a contract.