Lifting the Hood on SAP HANA Data Management Suite With one query, SAP’s modern data platform can deliver results from a single logical data set that covers your whole enterprise – turning the concept of universal data into a reality. SAP HANA Data Management Suite is the foundation to build agile, data-driven applications that are always tapping into live data. It allows for secure, governed enterprise-class applications and analytics by providing an open, hybrid, and multi-cloud enabled solution suite that orchestrates all the data you need into a trusted, unified landscape. To meet these challenges, SAP has launched SAP HANA Data Management Suite, a complete end-to-end data solution based on SAP HANA, SAP Data Hub, and SAP Enterprise Information Management (EIM) technologies. Against this background, many companies have concerns about the security and accuracy of the data they use to make business-critical decisions every day. What is missing is the enterprise-ready technology to achieve these goals. They require flexibility when it comes to their cloud infrastructure and the architecture of their solutions. They want to be able to productize new data scenarios quickly and easily and gain a comprehensive source-agnostic overview of their business by combining all sets of data – whether big data, transactional data, or analytical data – into a single data universe. They need a solution that simplifies their landscape while also ensuring the highest levels of security. As data landscapes become increasingly complex, companies face the challenge of trying to manage the influx of both structured and unstructured data from multiple applications, files, databases, data warehouses, and data lakes. The Need for End-to-End Data Managementīut the introduction of new and advanced technologies can also bring new challenges. An end-to-end process that, for example, collects sensor data to provide new pay-as-you-go business models, incorporating spatial analytics, machine learning, blockchain, contracting, operations, and billing opens up a whole new world of data-driven decision making. These next-generation solutions are proactive, based on events that trigger certain actions and built on technology that allows them to not only be more efficient, but also more intelligent. Data is the currency of the digital transformation and data-driven applications are the future of application development. ![]() Realizing this vision requires intelligent processes, intelligent experiences, and intelligent analysis.Īs I’ve explained previously, real-time data is one of the central components of the Intelligent Enterprise. Today, an organization has to be both customer-centric and agile, able to respond rapidly to changing market and customer demands. ![]() A free resource from GRC Data Intelligence. Related glossary terms: hybrid online analytical processing (HOLAP or Hybrid OLAP), geographic information system (GIS), DSTP (Data Space Transfer Protocol), multidimensional online analytical processing (MOLAP), FileMaker (FMP), meta, data mining, pivot table, data warehouse / database warehouse, data preprocessing IBM, Oracle, and other companies have provided database bridges that interface with OLE DB. UDA consists mainly of the high-level interface, ActiveX Data Objects (ADO) and the lower-level services called OLE DB. UDA is the database access part of Microsoft's Component Object Model (COM), an overall framework for creating and distributing object-oriented programming programs in a network. Universal Data Access (UDA) - Universal Data Access (UDA) is Microsoft's model or framework for a single uniform application program interface to different software makers' databases, both relational and nonrelational.
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