Data Lakehouse in Action: Architecting a modern and scalable data analytics platform
Author: Pradeep Menon
Publisher finelybook 出版社: Packt Publishing (March 17, 2022)
Language 语言: English
Print Length 页数: 206 pages
ISBN-10: 1801815933
ISBN-13: 9781801815932
Book Description
Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patterns
Key Features
Understand how data is ingested, stored, served, governed, and secured for enabling data analytics
Explore a practical way to implement Data Lakehouse using cloud computing platforms like Azure
Combine multiple architectural patterns based on an organization’s needs and maturity level
The Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization’s success.
The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book’s third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization’s needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application.
Author: the end of this book, you’ll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner.
What you will learn
Understand the evolution of the Data Architecture patterns for analytics
Become well versed in the Data Lakehouse pattern and how it enables data analytics
Focus on methods to ingest, process, store, and govern data in a Data Lakehouse architecture
Learn techniques to serve data and perform analytics in a Data Lakehouse architecture
Cover methods to secure the data in a Data Lakehouse architecture
Implement Data Lakehouse in a cloud computing platform such as Azure
Combine Data Lakehouse in a macro-architecture pattern such as Data Mesh
