The authors of »Predictive Modeling with Automated Analytics/SAP Predictive Analytics 2.x«
Pierpaolo Vezzosi is director of product management in the SAP Advanced Analytics organization. He joined BusinessObjects in 2000 as a technology alliances manager. There he worked to develop company relationships with key technological partners, and monitor innovating trends, including offshore activities in India. In 2006 he moved to product management in the Semantic Layer area to define the strategy for SAP BusinessObjects BI universes and the Information Design Tool. His current area of focus is predictive analytics and big data. Before joining BusinessObjects, Pierpaolo held several positions in the software industry as an analyst, developer, support engineer, and technical documentation editor. He holds a master’s degree in aeronautics and space engineering.
Gaëtan Saulnier is a product manager in the SAP Advanced Analytics organization. He joined BusinessObjects in 2007 as a software development engineer. He worked on the new semantic layer used in the business intelligence products such as SAP BusinessObjects Web Intelligence. In 2010, Gaëtan became a product manager for the WebI product, working mainly on the 4.1 release. He currently works in product management for the SAP Advanced Analytics team and looks after predictive analytics and big data subjects. Gaëtan holds a master’s degree in computer science and data mining.
729 pages, hardcover
This is your comprehensive resource on IDT and universe design! From universe creation to universe publication, get the step-by-step instructions you need to create the building blocks of reports for Webi, Dashboards, and more. Learn to build single- and multisource
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E-book | Print edition | Bundle
Everything you need to know about the new Information Design Tool and UNX universes
Explore step-by-step universe design, from connecting to different data sources, to creating data foundations, to building business layers
Compare and convert UNV to UNX universes
If you've got a galaxy of data, you know that sometimes a single-source universe just doesn't do the job. In this E-Bite, learn how to use the Information Design Tool to create multisource joins, derived tables, federated tables, pre- and
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Create multisource joins and derived tables
Define federated tables, including mapping rules and pre- and post-filters
Explore examples of union, mixed source, and data quality scenarios