Big Data and Hadoop

by WAGmob

★ ★ ★ ★ ★ Over One million paying customer ★ ★ ★ ★ ★ WAGmob brings you Simple 'n Easy, on-the-go learning ebook for "Big Data and Hadoop". The ebook Snack sized chapters for easy learning. Designed for both students and adults. This ebook provides a quick summary of essential concepts in Big Data and Hadoop by following snack sized Introduction to Big •Introduction to Big Data•Sources of Big Data•Big Data Characteristics•Big Data Analytics•The Importance of Big Data Big Data in the •Big Data in the Enterprise•Data Processing and The Old Way•Big Data Enterprise Model• Building a Big Data PlatformHadoop and Hadoop •Hadoop•Why Hadoop?•How does Hadoop help?•Hadoop Infrastructure •How Data Model is Different?•How Computing Model is Different?•Hadoop frameworkHadoop Distributed File System (HDFS):• Hadoop Distributed File System• Files and Blocks•Replication• A master-slave architecture• Data Placement and •MapReduce•Typical large –data problem•MapReduce Paradigm - I•Word count example•MapReduce Paradigm – II•MapReduce – Jobs and tasks• A master-slave architecture•MapReduce Programming Model•MapReduce – word count mapper•MapReduce – word count reducer•MapReduce – word count main•MapReduce – running a jobRelationship between MapReduce and •Relationship between MapReduce and HDFS•Clients, Data Nodes, and HDFS Storage•MapReduce workloads•Hadoop Fault Tolerance•Reading/Writing FilesHadoop and •Hadoop and Databases•Typical Datacenter Architecture•Adding Hadoop to the Mix•The Key Benefit• Complex Data ProcessingThe Hadoop •Job Execution•Hadoop Data Types•Job Configurations• Input and Output FormatsScenarios for Using Hadoop and Hadoop Live Use •Scenarios for Using Hadoop• Major Online Travel Booking Service•Major National Bank•Leading North American Retailer•NetflixGlossary.About WAGmob A companion ebook for on-the-go, bite-sized learning.2) Offers value for money (a lifetime of free updates).3) Over One million paying customers from 175+ countries.WAGmob Vision : Simple 'n easy ebooks for a lifetime of on-the-go learning.Visit us : www.wagmob.comPlease write to us at Team@WAGmob.com. We would love to improve this ebook.

129 pages, Kindle Edition

First published September 18, 2013

Reviews

[Jeroen · Rating 1 out of 5]

This book was not really value for money. After paying 0.99, it still feels like I'm entitled to receive back the change. The book is likely accurate but so heavily loaded with terminology that it is difficult to follow. The author assume a lot of IT knowledge from the reader. So, eventhough I wanted to understand Hadoop and mapreduce I don't feel I gained much knowledge. But I guess any gain for 0.99 might be worth it. Hopefully it allows me to pick a better book on the topic next time.

[Anthony O'Connor · Rating 2 out of 5]

Not much above useless

I don’t know what this silly little book even intends to accomplish. A collection of bullet points hastily thrown together conveying very little. Hadoop is a very sophisticated technology - distributed processing of large distributed data sets. I knew that already. After reading this book I know not a jot more. Don’t waste your time.

[Steve Condrey · Rating 4 out of 5]

Could have been better

For an introductory overview it presupposes a lot of prior knowledge of the field and leaves many key terms undefined.

[Wellington Okuti · Rating 5 out of 5]

If you looking for a simple book that talk about big data and hadoop.

This is a excellent book.