Modern Big Data Processing with Hadoop: Expert techniques for architecting end-to-end Big Data solutions to get valuable insights
by: V. Naresh Kumar – Prashant Shindgikar
ISBN-10: 178712276X
ISBN-13: 9781787122765
Released: 2018-03-30
Pages: 394
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.
Contents
1: ENTERPRISE DATA ARCHITECTURE PRINCIPLES
2: HADOOP LIFE CYCLE MANAGEMENT
3: HADOOP DESIGN CONSIDERATION
4: DATA MOVEMENT TECHNIQUES
5: DATA MODELING IN HADOOP
6: DESIGNING REAL-TIME STREAMING DATA PIPELINES
7: LARGE-SCALE DATA PROCESSING FRAMEWORKS
8: BUILDING ENTERPRISE SEARCH PLATFORM
9: DESIGNING DATA VISUALIZATION SOLUTIONS
10: DEVELOPING APPLICATIONS USING THE CLOUD
11: PRODUCTION HADOOP CLUSTER DEPLOYMENT
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
Authors
Naresh Kumar
Naresh Kumar has more than a decade of professional experience in designing,implementing,and running very-large-scale Internet applications in Fortune Top 500 companies. He is a full-stack architect with hands-on experience in domains such as ecommerce,web hosting,healthcare,big data and analytics,data streaming,advertising,and databases. He believes in open source and contributes to it actively. Naresh keeps himself up-to-date with emerging technologies,from Linux systems internals to frontend technologies. He studied in BITS-Pilani,Rajasthan with dual degree in computer science and economics.
Prashant Shindgikar
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.
