Pentaho for Big Data Analytics
- نوع فایل : کتاب
- زبان : انگلیسی
- نویسندگان : Feris Thia, Manoj R Patil
- چاپ و سال / کشور: 2013
- تعداد صفحه : 118
- شابک / ISBN : 1783282150
Description
Pentaho accelerates the realization of value from big data with the most complete solution for big data analytics and data integration. The real power of big data analytics is the abstraction between data and analytics. Data can be distributed across the cluster in various formats, and the analytics platform should have the capability to talk to different heterogeneous data stores and fetch the filtered data to enrich its value.
Pentaho Big Data Analytics is a practical, hands-on guide that provides you with clear, step-by-step exercises for using Pentaho to take advantage of big data systems, where data beats algorithm, and gives you a good grounding in using Pentaho Business Analytics’ capabilities.
This book looks at the key ingredients of the Pentaho Business Analytics platform. We will see how to prepare the Pentaho BI environment, and get to grips with the big data ecosystem through Hadoop and Pentaho MapReduce. The book provides a clear guide to the essential tools of Pentaho Business Analytics, providing familiarity with both the various design tools for setting up reports, and the visualization tools necessary for complete data analysis.
Pentaho Big Data Analytics is a practical, hands-on guide that provides you with clear, step-by-step exercises for using Pentaho to take advantage of big data systems, where data beats algorithm, and gives you a good grounding in using Pentaho Business Analytics’ capabilities.
This book looks at the key ingredients of the Pentaho Business Analytics platform. We will see how to prepare the Pentaho BI environment, and get to grips with the big data ecosystem through Hadoop and Pentaho MapReduce. The book provides a clear guide to the essential tools of Pentaho Business Analytics, providing familiarity with both the various design tools for setting up reports, and the visualization tools necessary for complete data analysis.
