Book Image

Pentaho Analytics for MongoDB

By : Bo Borland
Book Image

Pentaho Analytics for MongoDB

By: Bo Borland

Overview of this book

<p>Pentaho Analytics for MongoDB will teach you MongoDB and Pentaho integration points and developer skills needed to create turnkey analytic solutions that deliver insight and drive value for your organization.<br /><br />Starting with how to install, configure, and develop content in both Pentaho and MongoDB, this book will give you the complete range of skills needed to gain insight into MongoDB data using Pentaho Business Analytics.&nbsp; You will learn about MongoDB data models and query techniques, which are covered in combination with the provided sample MongoDB database. You then advance to data integration, analysis, and reporting using Pentaho.<br /><br />You will learn how to use Pentaho Data Integration to blend and enrich data from additional sources. From this blended data, you will develop professional-looking reports and analysis views that are visual and interactive. Lastly, we will cover the Pentaho web portal and web interfaces for deploying analytics out to a broader set of consumer users.</p>
Table of Contents (15 chapters)
Pentaho Analytics for MongoDB
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

About the Reviewers

Rio Bastian is a happy software developer already working on several IT projects. His interests include business intelligence, data integration, tuning SQL, and tuning Java code. He has also been a Pentaho Business Intelligence trainer for a server company in Indonesia and Malaysia. He is currently focused on the development of an airline customer loyalty program in PT. Aero Systems Indonesia, an IT consultant specializing in airline industries. In his spare time, he tries to share his experience in developing software through his personal blog altanovela.wordpress.com. You can reach him on Skype via rio.bastian or via e-mail at .

Pooya Esfandiar is a software engineer and data analyst. He received an MS in Computer Science from the University of British Columbia in 2010 while working at the data management and mining labs. His research interests include simulation, data mining, and machine learning in social networks. He has worked with a few companies and organizations in Iran and Canada to solve business problems in information systems, general software engineering, and data analysis. He once designed an in-house analytics solution using Pentaho and MongoDB and is now working as a software engineer at Amazon.com, Inc.

Gretchen Moran is working as an independent Pentaho consultant on a variety of business analytics and Big Data projects. She has 15 years' experience in the business intelligence industry, developing software and providing services for a number of companies, including Hyperion Solutions and Pentaho Corporation.

Gretchen continues to contribute to Pentaho Corporation's latest software initiatives while managing the daily adventures of her two children, Isabella and Jack, with her husband Doug.

Khaled Tannir has been working with computers since 1980. He began programming with the legendary Sinclair Zx81 and afterwards with all Commodore home computer products (VIC-20, Commodore 64, Commodore 128D, and Amiga 500).

He has a Bachelor's degree in Electronics, a Master's degree in System Information Architectures in which he graduated with a professional thesis, and he completed his education with a Master of Research degree.

He is a Microsoft Certified Solution Developer (MCSD) and has more than 20 years' technical experience leading the development and implementation of software solutions and giving technical presentations. He works as an independent IT consultant and has worked as an infrastructure engineer, senior developer, and enterprise/solution architect for many companies in France and Canada.

With a significant experience in Microsoft .NET/Servers and Oracle Java technologies, he has extensive skills in online/offline application design, system conversions, and multilanguage applications on both the Internet and desktops.

He spends his time researching on new technologies, learning about them, and looking for new adventures in France, North America, and the Middle East. He owns an IT and electronics laboratory with many servers, monitors, open electronics boards (such as Arduino, Netduino, Raspberry Pi, and .NET Gadgeteer), and some smartphone devices based on Windows Phone, Android, and iOS operating systems.

In 2012, he contributed to the EGC 2012 (International Complex Data Mining forum at Bordeaux University, France) and presented his work on how to optimize data distribution in a cloud computing environment in a workshop session. This work aims to define an approach to optimize the use of data mining algorithms such as k-means and Apriori in a cloud computing environment.

He is the author of RavenDB 2.x Beginner's Guide, Packt Publishing and Optimizing Hadoop MapReduce, Packt Publishing.

He aims to get a PhD degree in Cloud Computing and Big Data and wants to learn more and more about these technologies.

He enjoys taking landscape and night photos, travelling, playing video games, creating funny electronics gadgets with Arduino / .NET Gadgeteer and of course, spending time with his wife and family. You can reach him at .