Data Lakehouse in Action: Architecting a modern and scalable data analytics platform
Category
Author
Publication
Packt Publishing
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.
By 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.
Review
"I thoroughly enjoyed reading Data Lakehouse in Action. I strongly recommend it if youre looking to build a career as a Data Platform Architect, or as a Data Analytics Professional or Engineer or Architect. Following along is easy as all the concepts are well explained. Personally, I loved the chapters - The Data Lakehouse Architecture Overview and Applying Data Governance in a Data Lakehouse. Highly recommended."
--Subhasish Ghosh, Cloud Solution Architect - Data & Analytics (Enterprise Commercial US, Global Account - CSU), Microsoft
"This book, Data Lakehouse in Action, nicely describes data architecture patterns for analytics and it mainly focuses on ingesting, processing, storing, and governing data in a Data Lakehouse architecture (a data lake and an EDW) in a cloud computing platform such as Azure to unify your data warehousing and AI use cases on a single platform. The examples are really good,. kudos for the effort. I recommend this book to anyone who is keenly looking for a modern way to implement data architecture."
--Ram Ghadiaram VP, JPMC
About the Author
- 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
This book is for data architects, big data engineers, data strategists and practitioners, data stewards, and cloud computing practitioners looking to become well-versed with modern data architecture patterns to enable large-scale analytics. Basic knowledge of data architecture and familiarity with data warehousing concepts are required.
- Introducing the Evolution of Data Analytics Patterns
- The Data Lakehouse Architecture Overview
- Ingesting and Processing Data in a Lakehouse
- Storing and Serving Data in a Data Lakehouse
- Deriving Insights from a Data Lakehouse
- Applying Data Governance in a Data Lakehouse
- Applying Data Security in a Data Lakehouse
- Implementing a Data Lakehouse on Microsoft Azure
- Scaling the Data Lakehouse Architecture
