TIM-8530 v5

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 defines big data and explains core concepts and terminology. Big data characteristics (5 V's) are defined, the differences between types of data are described, and a case study is presented.
Read Chapter 3 – Big Data Adoption and Planning Considerations.
This chapter details the big data analytics lifecycle and its use in the big data adoption and planning process.

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.