A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop
Key Features
Book Description
The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools.
This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster.
By the end of this book, you will have all the knowledge you need to build expert Big Data systems.
What you will learn
Who this book is for:
This book is for Big Data professionals who want to fast-track their career in the Hadoop industry and become an expert Big Data architect. Project managers and mainframe professionals looking forward to build a career in Big Data Hadoop will also find this book to be useful. Some understanding of Hadoop is required to get the best out of this book.
"synopsis" may belong to another edition of this title.
Prashant Shindgikar is an accomplished Big Data Architect with over twenty years of experience in the field of Data Analytics. He specializes in data innovation and in resolving data challenges for major retail brands. He is a Hands-on Architect having an innovative approach to solving data problems. He provides thought leadership and pursues strategies for engagements with the senior executives on Innovation in data processing and Analytics. He presently works for a USA based large retail company.
"About this title" may belong to another edition of this title.
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