SAP S/4HANA CLOUD: AN INTRODUCTION (HB)

The authors, who are SAP professionals specializing in analytics, business intelligence, business transformation, enterprise information management, data warehousing, and other areas, offer a guide to SAP Data Intelligence for data management from various industry, business, and technical perspectives. They detail their experiences from different client scenarios, common challenges and how to address them, and best practices and business content, as well as comparisons to other extract, transform, and load tools available, and the setup to put together the business case. They outline different aspects of the software components and the technical knowledge needed for installing, setting up, configuring, implementing, automating, and monitoring it. They also discuss SAP Data Intelligence in the context of intelligent enterprise and leveraging SAP BTP (Business Technology Platform) and the data fabric framework; SAP Data Hub and SAP Leonardo Machine Learning Foundation as predecessors for SAP Data Intelligence and how their features have been merged and enhanced; using applications; metadata-driven data governance; modeling data processing pipelines; creating operators and data types; building Docker images; machine learning; using Jupyter Notebooks; the SAP Data Intelligence Python software development kit; integration with ABAP-based systems and non-SAP systems, big data workloads with SAP Vora, SAP Data Warehouse Cloud, and SAP Analytics Cloud; and administration, security, maintenance, and application lifecycle management. Annotation �2021 Ringgold, Inc., Portland, OR (protoview.com)