TIM-8530 v5

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 5 – Big Data Storage Concepts.
This chapter details the need to use scalable technologies to be able to acquire data sources from numerous external repositories.

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.