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.

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Spis treści

Data Lakehouse in Action. Architecting a modern and scalable data analytics platform eBook -- spis treści

• 1. Introducing the Evolution of Data Analytics Patterns
• 2. The Data Lakehouse Architecture Overview
• 3. Ingesting and Processing Data in a Lakehouse
• 4. Storing and Serving Data in a Data Lakehouse
• 5. Deriving Insights from a Data Lakehouse
• 6. Applying Data Governance in a Data Lakehouse
• 7. Applying Data Security in a Data Lakehouse
• 8. Implementing a Data Lakehouse on Microsoft Azure
• 9. Scaling the Data Lakehouse Architecture