Chapter 1: Introduction to Data Engineering
With the vast exodus of data around us, it is important to crunch it meaningfully and promptly to extract value from all the noise. This is where data engineering steps in. If collecting data is the first step, drawing useful insights is the next. Data engineering encompasses several personas that come together with their unique individual skill sets and processes to bring this to fruition. Data usually outlives the technology, and it continues to grow. New tools and frameworks come to the forefront to solve a lot of old problems. It is important to understand business requirements, the accompanying tech ...
Get Simplifying Data Engineering and Analytics with Delta now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.