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Key benefits

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

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.

Who is this book 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.

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

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Babacar May 24, 2022

“Data Lakehouse in Action: Architecting a modern and scalable data analytics platform” is a comprehensive and well-organized book for people who want to understand the most important concepts about Data Lakehouse architecture.Even though the author stated that the concepts have been explained in a non-technical and straightforward manner and that “anyone could easily understand and become well-versed with modern data architecture patterns to enable large-scale analytics”, I think that This book assumes that you already have a general understanding of Datalake and Entreprise Data Darehouse and some fundamental architectural concepts in Data.In the data lakehouse approach, the author could be more flexible in terms of layers but lot of examples in the book have used the same datalake layers (datastores), the 3+1 traditional layers (or datastore: raw, intermediate, processed and archived) are referred.The book exposes well the different components of the ELTL pattern, which is used to ingest and process batch data and streaming in a data lakehouse.The book is well written, with good explanations, and concrete examples, and it covers a large variety of topics. It is ideal when you want to learn and explore the key architecture elements of a modern data analytics platform using a recipe-based approach.I loved the “Further reading section” which summarizes the section you just read and introduces a next one.Data governance, Security and data masking are discussed from a perspective of data lakehouseAnd finally, the author went through an example in Azure Cloud. #azure #data #dataanalytics #datalake #datalakehouse #modernarchitecture

Amazon Verified review

Young May 11, 2022

This book gives me more comprehensive view of the data engineering. Good reading.

M-P Aug 15, 2022

Diese Architektur ist neu und spannend und wird in diesem Buch von allen Seiten (organisatorisch und technisch) super beleuchtet.

Chiranjeevi Bevara Apr 12, 2022

The author did a great job of explaining the complex topics in a simple way. Anyone who wants to gain deep knowledge of the Data Lakehouse concept must read this book.All the Data Lakehouse components,ingestion and processing data, storing and serving data, deriving insights, data governance, data security are very well explained.The author has explained Data Lakehouse implementation using Microsoft Azure. It would have been good if he had covered Data Lakehouse implementation using aws and gcp as well.Overall, I enjoyed reading this book. Thank you Packt and Pradeep Menon for this wonderful book.

STHAMMA Mar 20, 2022

Data Lakehouse in Action - Book covers Theoretical Evaluation of Data Lakehouse architecture, Ingestion and Processing , Data Governance , Data security , Data lakehouse on Azure cloud and scaled Data lakehouse. Hands on exercises with simple examples could have been more value added to this book.

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

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