DDS-8530 v1

Ikbal Taleb, Mohamed Adel Serhani, Chafik Bouhaddioui, & Rachida Dssouli. (2021). Big data quality framework: A holistic approach to continuous quality management. Journal of Big Data, 8(1), 1–41.
This journal article describes the importance of big data and its ability to drive value-added data-driven insights to the organization. The need to maintain quality management processes throughout the big data quality lifecycle is emphasized.

Khattak, W., Buhler, P., & Erl, T. (2016). Big data fundamentals: Concepts, drivers, & techniques. Pearson.

• Read Chapter 1: Understanding Big Data.
  This chapter describes terminology associated with big data, the characteristics of big data (volume, velocity, variety, veracity, and value), the different types of data (structured and unstructured) and provides a case study for review.
• Read Chapter 2: Business Motivations and Drivers for Big Data Adoption.
  This chapter explains the business architecture, business process management, and marketplace dynamics that serve as key drivers for big data adoption.

National Institute of Standards and Technology (2017). NIST Big Data Interoperability Framework. (NBDIF).
This set of documents are valuable references for the big data topics of (1) definitions and taxonomies; (2) use case and requirements; (3) security and privacy; (4) reference architecture; and (5) technology roadmap.