Learn advanced analytical techniques and leverage existing tool kits to make your analytic
applications more powerful precise and efficient. This book provides the right combination of
architecture design and implementation information to create analytical systems that go
beyond the basics of classification clustering and recommendation. Pro Hadoop Data Analytics
emphasizes best practices to ensure coherent efficient development. A complete example system
will be developed using standard third-party components that consist of the tool kits
libraries visualization and reporting code as well as support glue to provide a working and
extensible end-to-end system. The book also highlights the importance of end-to-end flexible
configurable high-performance data pipeline systems with analytical components as well as
appropriate visualization results. You'll discover the importance of mix-and-match or hybrid
systems using different analytical components in one application. This hybrid approach will be
prominent in the examples. What You'll Learn Build big data analytic systems with the Hadoop
ecosystem Use libraries tool kits and algorithms to make development easier and more
effective Apply metrics to measure performance and efficiency of components and systems Connect
to standard relational databases noSQL data sources and more Follow case studies with example
components to create your own systems Who This Book Is For Software engineers architects and
data scientists with an interest in the design and implementation of big data analytical
systems using Hadoop the Hadoop ecosystem and other associated technologies.
