3. Data Preparation
Overview
In this chapter, we will focus on the data preparation that has to be done before an AI project can start with model training and evaluation. You will practice ETL (Extract, Transform, and Load) or ELT (Extract, Load, and Transform), data cleaning, and any other data prep work that is commonly required by data engineers. We will cover batch jobs, streaming data ingestion, and feature engineering. By the end of this chapter, you will have knowledge and some hands-on experience of data preparation techniques.
