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

Pradeep Menon

Informasi Umum

Kode

24.01.1358

Klasifikasi

004.6782 - CLOUD COMPUTING, CLOUD TECHNOLOGY

Jenis

Buku - Circulation (Dapat Dipinjam)

Subjek

Cloud Computing, Big Data, Data Analytics,

No. Rak

Tel-U Gedung Manterawu Lantai 5 : Rak 1
Tel-U Purwokerto : Rak 1

Dilihat

37 kali

Informasi Lainnya

Abstraksi

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