Overview

It's time to extract, transform, and load your skills on managing enterprise data! With this book on SAP Data Services, you'll be an expert in no time. After learning about topics like planning, blueprinting, and integrating SAP Data Services, you'll get into the core of the book - detailed steps on how to perform Data Services tasks. Get the skills you need for your daily job, from basic tasks like designing objects, to advanced duties like analyzing unstructured text. Starting with Data Services: Set up your Data Services foundation. Learn how to plan for Data Services in your organization, then how to install, configure, and get working with it. Data Services Tasks: Regardless of your skillset, you'll find essential information on the tasks you'll encounter when working with Data Services. Learn how to architect jobs with performance, transparency, supportability, and cost in mind. Integration: Data Services plays well with others. This book explores two common integration scenarios: data warehousing and retail environments. Learn how to overcome common challenges and see frequently used scenarios. Highlights: Data Services architecture and OS Enterprise information management Installation: Windows and Linux Configuration Troubleshooting Data Services objects Datastores Data Services scripting language Social media analytics Information Steward Integration: data warehousing and retail

Full Product Details

Author:   Bing Chen ,  James Hanck ,  Patrick Hanck ,  Scott Hertel
Publisher:   SAP Press
Imprint:   SAP Press
ISBN:  

9781493211678

ISBN 10:   1493211676
Pages:   524
Publication Date:   28 February 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Acknowledgments Introduction PART I Installation and Configuration System Considerations Building to Fit Your Organization Operating System Considerations File System Settings Network Sizing Appropriately Summary Installation SAP BusinessObjects Business Intelligence Platform and Information Platform Services Repositories Postal Directories Installing SAP Server Functions Configuration for Excel Sources in Linux SAP Information Steward Summary Configuration and Administration Server Tools Set Up Landscape Components Security and Securing Sensitive Data Path to Production Operation Readiness How to Troubleshoot Execution Exceptions Summary PART II Jobs in SAP Data Services Application Navigation Introduction to Data Services Object Types Hypothetical Work Request Data Services Designer Data Services Workbench Summary Objects Jobs Workflow Logical Flow Objects Data Flows Transforms Datastores File Formats Summary Variables, Parameters, and Substitution Parameters Substitution Parameters Global Variables Variables Local Variables Parameters Example: Variables and Parameters in Action Summary Programming with SAP Data Services Scripting Language and Python Why Code? Functions Script Object Coding within Transform Objects User-Defined Transforms SQL Transform Summary Change Data Capture Comparing CDC Types CDC Design Considerations Source-Based CDC Solutions Target-Based CDC Solution Timestamp CDC Process Summary PART III Applied Integrations and Design Considerations Social Media Analytics The Use Case for Social Media Analytics The Process of Structuring Unstructured Data The Entity Extraction Transform Approach to Creating a Social Media Analytics Application Summary Design Considerations Performance Simplicity Summary Integration into Data Warehouses Kimball Methodology Hadoop and SAP HANA Summary Industry-Specific Integrations Retail: Facilitating Customer Loyalty Distribution: SAP BW/SAP APO Integration with SAP ECC Summary PART IV Special Topics SAP Information Steward Match Review Cleansing Package Builder Metadata Management Summary Where Is SAP Data Services Headed? The Key Themes for SAP Data Services The State of the State Beyond SP03 Help Shape the Future of Data Services Summary The Authors Index

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Author Information

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 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 ensuring that trusted information is delivered and available in the simplest manner possible. Prior to Method360, James worked at various consulting and software companies including General Electric Capital Consulting, Metamor Worldwide, and IBM. James is a licensed attorney with a doctorate in law and has his certificate in High Tech Law. 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 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 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 is well known in the SAP technical community for his conference presentations, webinars, and contributions to SDN. Paul has been with SAP for more than 10 years as a consultant, educator, and product manager, with deep knowledge of Basis, SOA, and SAP NetWeaver Process Integration. He has a degree in mathematics from the University of California at Davis, and lives in Eugene, Oregon, with his wife Jessica and two greyhounds.

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