Data Engineering Weekly #75

02/21/22 • 15 min

I am sharing my thoughts around the 75th edition of the Data Engineering Weekly newsletter. You can read the edition here https://www.dataengineeringweekly.com/p/data-engineering-weekly-75 The featured articles this week are, 📚 Dagster: Bundling Vs UnBundling the Data Platform 📚 Prefect: Logs, the Prefect Way 📚 Pinterest: Spinner - Pinterest’s Workflow Platform 📚 Apache Arrow: Introducing Apache Arrow Flight SQL - Accelerating Database Access 📚 Kevin Kho: Introducing Fugue — Reducing PySpark Developer Friction 📚 Mikkel Dengsøe: Data, engineers, and designers - How the US compares to Europe 📚 Zach Quinn: Why Data Engineers Must Have Domain Knowledge — And How To Gain It 📚 Salesforce: Embracing Mutable Big Data 📚 Microsoft DataScience: Natural Language Understanding What’s the purpose of meaning? 📚 Back Market: From Delta Lake to BigQuery 📚 Foodpanda: How foodpanda reduced 45% of our BigQuery cost with reservations slots 📚 Hifly Labs: Awesome dbt

Next Episode

undefined - DEW #119: Netflix's Scaling Media Machine Learning at Netflix, Open Table Formats Square Off in Lakehouse Data Smackdown & Building a semantic layer in Preset (Superset) with dbt

DEW #119: Netflix's Scaling Media Machine Learning at Netflix, Open Table Formats Square Off in Lakehouse Data Smackdown & Building a semantic layer in Preset (Superset) with dbt

We are super excited to be back to discussing Data Engineering Weekly Newsletter articles every week. We will take 2 or 3 articles from each week's Data Engineering Weekly edition and go through an in-depth analysis.

On Data Engineering Weekly edition #119, We are taking three articles.