Book Image

Pentaho for Big Data Analytics

By : Manoj R Patil, Feris Thia
Book Image

Pentaho for Big Data Analytics

By: Manoj R Patil, Feris Thia

Overview of this book

<p>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.<br /><br />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.<br /><br />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. 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.</p>

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Pentaho for Big Data Analytics
Manoj R Patil | Feris Thia
Nov, 2013 | 118 pages
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Table of Contents (14 chapters)
Pentaho for Big Data Analytics
Pentaho for Big Data Analytics
Credits
Credits
About the Authors
About the Authors
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
The Rise of Pentaho Analytics along with Big Data
The Rise of Pentaho Analytics along with Big Data
Pentaho BI Suite – components
Edge over competitors
Summary
2
Setting Up the Ground
Setting Up the Ground
Pentaho BI Server and the development platform
Prerequisites/system requirements
Obtaining Pentaho BI Server (Community Edition)
The JAVA_HOME and JRE_HOME environment variables
Running Pentaho BI Server
Pentaho User Console (PUC)
Pentaho Action Sequence and solution
The JPivot component example
The message template component example
The embedded HSQLDB database server
Pentaho Marketplace
Saiku installation
Pentaho Administration Console (PAC)
Creating data connections
Summary
3
Churning Big Data with Pentaho
Churning Big Data with Pentaho
An overview of Big Data and Hadoop
The Hadoop architecture
Pentaho Data Integration (PDI)
Importing data to Hive
Putting a data file into HDFS
Loading data from HDFS into Hive (job orchestration)
Summary
4
Pentaho Business Analytics Tools
Pentaho Business Analytics Tools
The business analytics life cycle
Preparing data
Pentaho Reporting
Data visualization and dashboard building
Summary
5
Visualization of Big Data
Visualization of Big Data
Data visualization
Data source preparation
Visualizing data using CTools
CSS styling
Summary
Big Data Sets
Big Data Sets
Freebase
U.S. airline on-time performance
Amazon public data sets
Hadoop Setup
Hadoop Setup
Hortonworks Sandbox
Transferring a file using secure FTP
Preparing Hive data
The nyse_stocks sample data
Index
Index

About the Authors

Manoj R Patil is the Chief Architect in Big Data at Compassites Software Solutions Pvt. Ltd. where he overlooks the overall platform architecture related to Big Data solutions, and he also has a hands-on contribution to some assignments. He has been working in the IT industry for the last 15 years. He started as a programmer and, on the way, acquired skills in architecting and designing solutions, managing projects keeping each stakeholder's interest in mind, and deploying and maintaining the solution on a cloud infrastructure. He has been working on the Pentaho-related stack for the last 5 years, providing solutions while working with employers and as a freelancer as well.

Manoj has extensive experience in JavaEE, MySQL, various frameworks, and Business Intelligence, and is keen to pursue his interest in predictive analysis.

He was also associated with TalentBeat, Inc. and Persistent Systems, and implemented interesting solutions in logistics, data masking, and data-intensive life sciences.

Thank you Packt Publishing for extending this opportunity and guiding us through this process with your extremely co-operative team! I would also like to thank my beloved parents, lovely wife Manasi, and two smart daughters for their never-ending support, which keeps me going. Special thanks to my friend Manish Patel, my CEO Mahesh Baxi for being inspirational in my taking up this project, my co-author Feris for being committed in spite of his busy schedule, reviewers for reading the book and giving meaningful commentary and reviews, and to all those who directly/indirectly helped me with this book.

Finally I would like to extend an extra special thanks to Mahatria Ra for being an everlasting source of energy.

Feris Thia is a founder of PHI-Integration, a Jakarta-based IT consulting company that focuses on data management, data warehousing and Business Intelligence solutions. As a technical consultant, he has spent the last seven years delivering solutions with Pentaho and the Microsoft Business Intelligence platform across various industries, including retail, trading, finance/banking, and telecommunication.

He is also a member and maintainer of two very active local Indonesian discussion groups related to Pentaho () and Microsoft Excel (the BelajarExcel.info Facebook group).

His current activities include research and building software based on Big Data and the data mining platform, that is, Apache Hadoop, R, and Mahout.

He would like to work on a book with a topic on analyzing customer behavior using the Apache Mahout platform.

I'd like to thank my co-author Manoj R Patil, technical reviewers, and all the folks at Packt Publishing, who have given me the chance to write this book and helped me along the way. I'd also like to thank all the members of the Pentaho Indonesia User Group and Excel Indonesia User Group through the years for being my inspiration for the work I've done.

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