DDS-8530 v1

Azamri, B. (2016). Scalable big data architecture. Apress.
Read Chapter 1 – The Big (Data) Problem.
This chapter explains the complexities of big data related to size and different business use cases.
Read Chapter 2 – Early Big (Data) With NoSQL.
This chapter details different datastore technologies used with big data. NoSQL is highlighted in a specific use case.
Read Chapter 3 – Defining the Processing Topology.
This chapter describes the processing topology used by big data architecture and the techniques used to blend architectures for the most optimal architecture.

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.

Indrasiri, K., & Suhothayan, S. (2021). Design patterns for cloud native applications. O'Reilly Media.
Read Chapter 4 – Data Management Patterns.
This chapter details various aspects of cloud data management, including data architecture, data management, data composition, data scaling, and more.