دانلود کتاب Data Lakehouse in Action

• 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

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