Data Lakehouse in Action: Architecting a modern and scalable data analytics platform

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
Book Description
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.

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
Who this book is for
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.

Table of Contents
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