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Data Provisioning for SAP HANA

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Data Provisioning for SAP HANA by Megan Cundiff
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Before making data available in SAP HANA, you must standardize, integrate, and secure it-that's where data provisioning comes in. In this guide, you'll learn about each of your options, from SAP HANA-based tools like SDI and SDQ to SAP Data Services and SAP LT Replication Server. Whether you'll be provisioning data in batches or in real-time, you'll understand when to use each tool, its requirements, and how it works. A detailed case study will show you how to establish a successful data provisioning practice. Highlights include: SAP HANA smart data integration (SDI), SAP HANA smart data quality (SDQ), SAP HANA smart data access (SDA), SAP Agile Data Preparation, SAP Data Services, SAP Landscape Transformation Replication Server, SAP Data Quality Management, microservices, Cloud data, Case study. This book provides you with the tools to: Get to know your options for provisioning data for SAP HANA, Learn which tool works best and when to use them, See the tools in action with an in-depth case study.

Author Biography

Russel Lamb is a manager at Protiviti. He has dedicated his career to implementing end-to-end business intelligence solutions for numerous organizations in a variety of environments. Originally focusing on enterprise data modeling and ETL architecture, Russ has spent the last several years specializing in empowering organizations to use SAP HANA in by enhancing their EDW's, analyzing previously unwieldy ERP tables, cleansing and storing SaaS-sourced CRM data, and extending their landscape into the cloud. His diverse experience has resulted in numerous ASUG and SAP speaking engagements, ranging from SAP Data Services to cloud architecture best practices. Don Loden is a director of Data and Analytics at Protiviti, with full lifecycle data warehouse and information governance experience in multiple industries. He is an SAP Certified Application Associate of SAP Data Services, and he is very active in the SAP community, speaking globally at numerous SAP and ASUG conferences and events. He has more than 18 years of information technology experience in the following areas: ETL architecture, development, and tuning; logical and physical data modeling; and mentoring on data warehouse, data quality, information governance, and ETL concepts. He is the author of three books and twelve articles on data management topics. You can follow Don on Twitter at @donloden. You can contact Don by email at
Release date NZ
October 4th, 2018
Country of Publication
United States
SAP Press
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