Big Data Tools – Which, When and How? (Volume– II)

About Book

Big data analytics emerged as a revolution in the field of information technology. It is the ability of the organization to stay agile which gives it a competitive edge over its competitors. Data harvesting and data analytics enable the organization identify new opportunities which in turn results in efficient operations, leads to smarter business moves and higher business turnovers. All these issues are addressed by big data analytics and its initiatives. Chapter 4 focuses on architecture of Pig, Apache Pig execution modes, Pig data types and operators. Apache Pig Latin data model is based on nested relations. The chapter provides description of different components of Pig Latin data model. The lab session includes installing Pig over Hadoop and exploring different Pig Latin operators.Chapter 5 deals with common services provides by zookeeper, architecture and components of zookeeper and zookeeper operation modes. The salient feature of the chapter is exploration of leader election algorithm and security of ZNodes through access control list. The chapter concludes with the hands-on lab sessions on installation of zookeeper and exposure to zookeeper command-line interface. Chapter 6 discusses different types of NoSQL databases, transformation rules from one data model to another and performs in-depth analysis of HBase data model. The features which are difficult to comprehend such as data compaction, data locality, HBase read and write operations are simplified with easy to understand figures and explanation. As a part of hands-on lab sessions, installation of HBase over Hadoop and exercises based on HBase general commands, DDL commands and DML commands are dealt with.