Azure Databricks Cookbook: Accelerate and scale real-time analytics solutions using the Apache Spark-based analytics service

Scale instead of Scala, calling JDBC the Javascript Database Connectivity rather than Java Database connectivity. If it wasn't for the fact that ChatGPT came out a long time after this book I'd assume that it was written by an ML model with "a reddit grasp on reality". After I started seeing inconsistencies like that I couldn't read any further as I doubted the accuracy of all of it.I have a horrible feeling that this is how the internet will look going forward. :(

A fantastic book , in the era where engineers/authors are very satisfied with high level designs and architecture , this book provides the real time use cases and provides in-depth hands-on experience of Azure Data Bricks. Having worked in Data Bricks for last 2 years , I felt this is a good place to recap and check the implementation details of the data bricks scenarios. Overall a must-read for budding & experienced data professionals who are working in azure data bricks.

Its avg book 3 star . Main topic of cicd pipeline using yaml is missing in book