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The book is a practical guide, full of step-by-step examples that are easy to follow and implement. This book is for developers, system administrators, and business intelligence professionals looking to learn how to get more out of their data through Pentaho. In order to best engage with the examples, some knowledge of Java will be required.Biografía del autor:
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 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, fi nance/banking, and telecommunication. He is also a member and maintainer of two very active local Indonesian discussion groups related to Pentaho (email@example.com) 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.
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