Section 1 – Introduction to Delta Lake and Data Engineering Principles
Understanding modern data architectures and sound data engineering principles and practices are crucial to ensure that your AI and BI strategies are reliable and defensible. Generated insights are going to be as good as the quality of the underlying data, so the upfront effort put into understanding the data, modeling it, and transforming it per the business needs goes a long way to foster innovation, productivity, and agility in your data teams.
This part includes the following chapters:
- Chapter 1, An Introduction to Data Engineering
- Chapter 2, Data Modeling and ETL
- Chapter 3, Delta – The Foundation Block for Big Data
