Part 1: Upstream Data Ingestion and Cleaning

This part focuses on the foundational stages of data processing, starting from data ingestion to ensuring its quality and structure for downstream tasks. It guides readers through the essential steps of importing, cleaning, and transforming data, which lay the groundwork for effective data analysis. The chapters explore various methods for ingesting data, maintaining high-quality datasets, profiling data for better insights, and cleaning messy data to make it ready for analysis. Further, it covers advanced techniques like merging, concatenating, grouping, and filtering data, along with choosing appropriate data destinations or sinks to optimize processing pipelines. Each chapter in this part equips readers with the knowledge to handle raw data and turn it into a clean, structured, and usable form.

This part has the following chapters:

• Chapter 1, Data Ingestion Techniques
• Chapter 2, Importance of Data Quality
• Chapter 3...