Apache Hadoop ( Big Data ) Blackbook

This book is a Gold mine on Apache Hadoop and covers extensively and in depth the following mentioned concepts with loads of illustrations and Examples:- 1.HDFS 2.Map Reduce 3.Pig 4.Hive 5.Sqoop 6.Flume 7.Eclipse Integrated Development Environment( IDE ) 8.Differences between Old and New API 9.ToolRunner 10.JUnit and MRUnit 11.Distributed Cache 12.Common MapReduce Algorithms like Sorting , Searching , Indexing , Term Frequency and Word Co-Occurrence 13.Machine Learning 14.Term Frequency – Inverse Document Frequency ( TF-IDF ) 15.Sequence Files 16.Avro 17.Reduce-Side Joins 18.Secondary Sort 19.Oozie It covers lots of Practical Development Tips & Techniques like Debugging , logging , logging with log 4j. Graphs are also covered in detail