Interested in the hot new career field of analytics engineering?
This book acts as the perfect introduction to all things analytics engineering. You can think of it as a dictionary for all the terms, tools, languages, and skills that you need to succeed as an analytics engineer.
Each letter highlights a different keyword that you often hear in the industry. Some words are more general and lead to a discussion on best practices while other words are about a certain tool or language that you need to master.
This book will give you guidance on where to start regarding your modern data stack. The terms included will help you gain exposure to the lingo of the job field and the best practices that you need to consider when implementing a data stack, writing data models, and building out a data pipeline.
Some of the terms include:
- data quality
- your documentation
An ebook in the form of a downloadable PDF