Beschreibung
Before making data available in SAP HANA, you must standardize, integrate, and secure itthats where data provisioning comes in. In this guide, youll 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 youll be provisioning data in batches or in real-time, youll 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 PreparationSAP Data ServicesSAP Landscape Transformation Replication ServerSAP Data Quality Management, microservicesCloud dataCase study Highlights: SAP HANA smart data integration (SDI)SAP HANA smart data quality (SDQ)SAP HANA smart data access (SDA)SAP Agile Data PreparationSAP Data ServicesSAP Landscape Transformation Replication ServerSAP Data Quality Management, microservicesCloud dataCase studies
Autorenportrait
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.
