Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This
book shows you many optimization techniques and covers every context where Pig is used in big
data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively
little time to develop big data applications.The book is divided into four parts: the complete
features of Apache Pig integration with other tools how to solve complex business problems
and optimization of tools.You'll discover topics such as MapReduce and why it cannot meet every
business need the features of Pig Latin such as data types for each load store joins groups
and ordering how Pig workflows can be created submitting Pig jobs using Hue and working with
Oozie. You'll also see how to extend the framework by writing UDFs and custom load store and
filter functions. Finally you'll cover different optimization techniques such asgathering
statistics about a Pig script joining strategies parallelism and the role of data formats in
good performance. What You Will Learn- Use all the features of Apache Pig- Integrate Apache Pig
with other tools- Extend Apache Pig- Optimize Pig Latin code- Solve different use cases for Pig
LatinWho This Book Is ForAll levels of IT professionals: architects big data enthusiasts
engineers developers and big data administrators
