Chapter 1, Enterprise Data Architecture Principles, shows how to store and model data in Hadoop clusters.
Chapter 2, Hadoop Life Cycle Management, covers various data life cycle stages, including when the data is created, shared, maintained, archived, retained, and deleted. It also further details data security tools and patterns.
Chapter 3, Hadoop Design Considerations, covers key data architecture principles and practices. The reader will learn how modern data architects adapt to big data architect use cases.
Chapter 4, Data Movement Techniques, covers different methods to transfer data to and from our Hadoop cluster to utilize its real power.
Chapter 5, Data Modeling in Hadoop, shows how to build enterprise applications ...
