Modern Big Data Processing with Hadoop : Expert techniques for architecting end-to-end big data solutions to get valuable insights
Language: English
Published by Packt Publishing, 2018
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 65.73
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - A comprehensive guide to design, build and execute effective Big Data strategies using HadoopKey FeaturesGet an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platformConquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and moreA comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop ArchitectBook DescriptionThe 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 learnBuild an efficient enterprise Big Data strategy centered around Apache HadoopGain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and moreSet up and deploy your Big Data environment on premises or on the cloud with Apache AmbariDesign effective streaming data pipelines and build your own enterprise search solutionsUtilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache SupersetPlan, set up and administer your Hadoop cluster efficientlyWho 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.…
Seller Inventory # 9781787122765
- Title
- Modern Big Data Processing with Hadoop : Expert techniques for architecting end-to-end big data solutions to get valuable insights
- Author
- Prashant Shindgikar
- Publisher
- Packt Publishing
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 178712276X
- ISBN 13
- 9781787122765
- Item weight
- 733 grams
- Dimensions
- 235x191x22 mm
A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop
Key Features
- Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform
- Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more
- A comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop Architect
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
- Build an efficient enterprise Big Data strategy centered around Apache Hadoop
- Gain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and more
- Set up and deploy your Big Data environment on premises or on the cloud with Apache Ambari
- Design effective streaming data pipelines and build your own enterprise search solutions
- Utilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache Superset
- Plan, set up and administer your Hadoop cluster efficiently
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.
About the Author
Prashant Shindgikar is an accomplished big data Architect with over 20 years of experience in data analytics. He specializes in data innovation and 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 large USA-based retail company.
"About the title" may belong to another edition of this title.
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