ANA330

Rattenbury, T., Hellerstein, J., Heer, J., Kandel, S., & Carreras, C. (2017). Principles of data wrangling: practical techniques for data preparation (First edition.). O’Reilly.
Read the Introduction
In this introduction, the authors highlight the importance of quality data in the context of real-world examples. They present a higher level view of data quality and how this is often overlooked in the analytic space.

Moses, B., Gavish, L., & Vorwerck, M. (2022). Data quality fundamentals: a practitioner’s guide to building trustworthy data pipelines. O’Reilly Media.
Read Chapter 1: Why Data Quality Deserves Attention-Now.
In Chapter 1, the authors discuss “why data quality deserves attention now, and how architectural and technological trends are contributing to an overall decrease in governance and reliability. The authors will introduce the concept of ‘data downtime,’ and explain how it harkens back to the early days of site reliability engineering (SRE) teams and how these same DevOps principles can apply to your data engineering workflows as well.”