Manoochehri M. Data Just Right: Practical Big Data Analytics

Addison–Wesley, 2013 2014. — 245 p. — ISBN: 0321898656, 9780321898654Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that’s where you can derive the most value.
Manoochehri shows how to address each of today’s key Big Data use cases in a cost-effective way by combining technologies in hybrid solutions. You’ll find expert approaches to managing massive datasets, visualizing data, building data pipelines and dashboards, choosing tools for statistical analysis, and more. Throughout, the author demonstrates techniques using many of today’s leading data analysis tools, including Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery.Coverage includes
Mastering the four guiding principles of Big Data success — and avoiding common pitfalls
Emphasizing collaboration and avoiding problems with siloed data
Hosting and sharing multi-terabyte datasets efficiently and economically
Building for infinity to support rapid growth
Developing a NoSQL Web app with Redis to collect crowd-sourced data
Running distributed queries over massive datasets with Hadoop, Hive, and Shark
Building a data dashboard with Google BigQuery
Exploring large datasets with advanced visualization
Implementing efficient pipelines for transforming immense amounts of data
Automating complex processing with Apache Pig and the Cascading Java library
Applying machine learning to classify, recommend, and predict incoming information
Using R to perform statistical analysis on massive datasets
Building highly efficient analytics workflows with Python and Pandas
Establishing sensible purchasing strategies: when to build, buy, or outsource
Previewing emerging trends and convergences in scalable data technologies and the evolving role of the Data Scientist