Book Image

Data Lake Development with Big Data

By : Pradeep Pasupuleti, Beulah Salome Purra
Book Image

Data Lake Development with Big Data

By: Pradeep Pasupuleti, Beulah Salome Purra

Overview of this book

A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications. This book will guide readers (using best practices) in developing Data Lake's capabilities. It will focus on architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging. By the end of this book, you will have a good understanding of building a Data Lake for Big Data.
Table of Contents (13 chapters)

Credits

Authors

Pradeep Pasupuleti

Beulah Salome Purra

Reviewer

Dr. Kornel Amadeusz Skałkowski

Commissioning Editor

Priya Singh

Acquisition Editor

Ruchita Bhansali

Content Development Editor

Rohit Kumar Singh

Technical Editor

Saurabh Malhotra

Copy Editor

Trishya Hajare

Project Coordinator

Izzat Contractor

Proofreader

Safis Editing

Indexer

Hemangini Bari

Graphics

Jason Monteiro

Kirk D'Penha

Production Coordinator

Shantanu N. Zagade

Cover Work

Shantanu N. Zagade