The authors of »Introducing SAP Data Hub«

Michael Eacrett

Michael Eacrett is the VP of product management for SAP Data Hub, enterprise information management, and SAP Vora.

Swapan Saha

Swapan Saha is a senior director for big data product management at SAP focusing on SAP Data Hub. From 2014 to 2016, he managed SAP's global team for enterprise product management. He co-architected SAP’s first public cloud offering, SAP HANA with Amazon Web Service (SAP HANA One), and has been instrumental in bringing on board the first thousand SAP HANA One customers. 
Swapan is a product leader with proven success in developing scalable, industry-leading cloud and on-premise solutions for companies of all sizes. For more than 20 years, including 17 at SAP, his focus has been on big data, analytics, and platform and enterprise applications. He is an author and a presenter of more than 40 technical papers and white papers on enterprise software and cloud solutions.
He received his Ph.D. from the Electrical and Computing Engineering department at Iowa State University. He received his masters at the Indian Institute of Technology, Kharagpur and a bachelors at Indian Institute of Engineering Science and Technology, Shibpur.

Gaëtan Saulnier

Photo of Gaëtan Saulnier

E-Bite

Current titles

  • Cover of Predictive Modeling with Automated Analytics/SAP Predictive Analytics 2.x
    Predictive Modeling with Automated Analytics/SAP Predictive Analytics 2.x

    Pierpaolo Vezzosi, Gaëtan Saulnier

    107 pages

    Harness the power of predictive modeling with the Automated Analytics module (formerly known as SAP InfiniteInsight) of SAP Predictive Analytics. In this E-Bite you'll learn to correctly set up data inputs and use four major data models. See how to More about the book

    $24.99

    Available

    E-Bite
    • See how Automated Analytics streamlines predictive analytics processes
    • Learn to improve your analysis by correctly configuring the input data sets
    • Build regression/classification, time series analysis, clustering, and recommendation models