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.
Inhalt
... Who This Book Is for ... 13
... How This Book Is Organized ... 14
... Acknowledgments ... 16
... Conclusion ... 16
1.1 ... What Are the Tools for Provisioning Data? ... 17
1.2 ... How Are These Tools Used Together? ... 31
1.3 ... Summary ... 36
2.1 ... What Is SAP HANA Smart Data Integration? ... 37
2.2 ... Use Cases for SAP HANA Smart Data Integration ... 38
2.3 ... Installation and Configuration ... 39
2.4 ... Using SAP HANA Smart Data Integration ... 48
2.5 ... Summary ... 89
3.1 ... What Is SAP HANA Smart Data Quality? ... 91
3.2 ... How Do SAP HANA Smart Data Integration and SAP HANA Smart Data Quality Work Together? ... 92
3.3 ... Installation and Configuration ... 93
3.4 ... Using SAP HANA Smart Data Quality ... 103
3.5 ... Summary ... 122
4.1 ... What Is SAP Agile Data Preparation? ... 123
4.2 ... SAP Agile Data Preparation and SAP HANA ... 124
4.3 ... SAP Agile Data Preparation: On-Premise versus Cloud ... 124
4.4 ... Installation and Configuration ... 126
4.5 ... Using SAP Agile Data Preparation ... 140
4.6 ... Summary ... 165
5.1 ... What Is SAP Data Services? ... 168
5.2 ... Installation and Configuration ... 194
5.3 ... Using SAP Data Services ... 202
5.4 ... Summary ... 217
6.1 ... What Is the SAP Landscape Transformation Replication Server? ... 219
6.2 ... Installation and Configuration ... 222
6.3 ... Using the SAP LT Replication Server ... 225
6.4 ... Summary ... 238
7.1 ... What Is SAP Data Quality Management, Microservices for Location Data? ... 241
7.2 ... Invoking Microservices for Location Data ... 243
7.3 ... Installation and Configuration ... 252
7.4 ... Using Prebuilt Functions ... 258
7.5 ... Summary ... 259
8.1 ... Cloud Considerations ... 261
8.2 ... SAP Cloud Platform ... 265
8.3 ... Amazon Web Services ... 270
8.4 ... Microsoft Azure ... 275
8.5 ... Summary ... 279
9.1 ... Data Preparation for an Omnichannel Initiative ... 281
9.2 ... Supply Chain Analytics for Reducing Cost of Goods Sold ... 303
9.3 ... Profile and Transform Customer Data ... 323
9.4 ... Cleaning and De-duplicating a Mailing List ... 332
9.5 ... Summary ... 343
