The authors of »SAP Data Services«

Bing Chen

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Bing Chen leads the Advanced Analytics practice at Method360 and has over 18 years of experience in IT consulting, from custom application development to data integration, data warehousing, and business analytics applications on multiple database and BI platforms. He specializes in advanced analytics and data processing technologies such as in-memory SAP HANA, column-oriented and cloud databases, Apache Hadoop, predictive analysis, data visualization, and data integration platforms such as SAP Data Services. He speaks on a regular basis at SAP and other industry conferences. Bing lives in San Francisco, California, with his wife and two children.

James Hanck

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James Hanck is co-founder of Method360 and currently leads the enterprise information management practice. In this role, he leads a team to analyze, design, and build integration and information governance solutions to improve businesses’ data quality. James regularly speaks at conferences on integration and information governance. He brings over 20 years’ experience of ensuring that trusted information is delivered and available in the simplest manner possible.

Patrick Hanck

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Patrick Hanck is a lead Enterprise Information Management consultant at Method360. He specializes in provisioning information, system implementation, and process engineering, and he has been recognized through business excellence and process improvement awards. Patrick has over 25 years of experience in consulting and program management, working in aerospace, IT management, finance, legal, services supply chain, distribution, and retail industries. Prior to entering the world of information technology, he was a rocket scientist. He has a degree in mechanical engineering and project management certifications from Stanford and George Washington University. Patrick lives in Los Gatos, California, with his wife and two children.

Scott Hertel

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Scott Hertel is a senior Enterprise Information Management consultant with over 15 years of consulting experience helping companies integrate, manage, and improve the quality of their data. He specializes in data governance, data quality improvement, master data management, and data migration projects. Scott has spoken at numerous seminars and conferences on these and other related topics. Scott lives in San Francisco, California, with his wife and children.

Allen Lissarrague

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Allen Lissarrague is a senior BI technologist with over 15 years of experience directly in SAP analytics and information products. His experience includes new product implementation and migration, as well as advanced troubleshooting. He is also considered a performance enhancement specialist. Allen lives in the San Francisco Bay area with his wife and three children.

Paul Médaille

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Paul Médaille has worked for SAP for over 15 years as a consultant, trainer, and product manager, and he is currently a director in the Solution Management group covering Enterprise Information Management topics, including Data Services. He is well known to SAP audiences through his many articles, conference presentations, and webcasts. Paul has previously contributed to two other SAP Press books, Practical Workflow for SAP (2nd ed.) and Enterprise Information Management with SAP (2nd ed.). He has a degree in mathematics from the University of California at Davis, and he lives in Eugene, Oregon, with his wife, Jessica, and a retired racing greyhound.
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Current titles

  • Cover of Data Provisioning and Cleansing with SAP HANA SDI and SAP HANA SDQ

    Data Provisioning and Cleansing with SAP HANA SDI and SAP HANA SDQ

    James Hanck, Cheri Mallory, Paul Médaille

    97 pages

    SAP HANA is nothing without good data. In this E-Bite, learn how to use SAP HANA EIM (enterprise information management) functionalities to load and cleanse data. Follow step-by-step instructions to set up adapters to establish connectivity. Build flowgraphs for altering More about the book



    • Use SAP HANA enterprise information management (EIM) capabilities
    • Set up adapters for source and target systems
    • Build flowgraphs for use in batch, real-time, and data streaming jobs