Embark on Your Data Management Journey with Confidence

Transcription

1 SAP Brief SAP Data Hub Embark on Your Data Management Journey with Confidence

2 SAP Brief Managing data operations across your complex IT landscape Proliferation of any kind of data presents a wealth of opportunities for the organizations that have the visibility and control required to make the most of it. By applying sophisticated, comprehensive data operations (DataOps) management, organizations like yours can orchestrate data from a variety of systems and storages. You can gain competitive advantages and business value from combining refined Big Data with enterprise data and corporate master data. Managing data operations across your complex IT landscape As the volume and variety of information increases, so does the complexity of corporate data and technology landscapes. At the same time, information and process disconnects and data silos can make it costly and difficult to get value out of the data or achieve enterprise insight. It doesn t have to be this way. A total DataOps management strategy can help you connect disparate data sources and systems, get a deeper understanding of the data, and uncover insights. Metadata and DataOps management helps you overcome boundaries between Big Data and enterprise data, accelerate and repair the flow of information among different systems, and resolve data quality issues and friction points. By building information pipelines throughout and beyond the enterprise, you can work across silos, enhancing your data agility. By increasing the depth and breadth of your visibility and control across the data landscape, you can act quickly to seize opportunities and respond to data security threats. 2 / 9

3 SAP Brief Controlling and orchestrating data flows The SAP Data Hub solution unifies data orchestration, pipelining, and governance functionality, integrating information from all types of sources and enabling agile data sharing and data-driven processes. Unified monitoring and management functionality lets you control, share, and distribute data across the software landscape. It gives you smooth connectivity to data lakes and enterprise sources such as business warehouses, data marts, and enterprise applications, whether the information is stored on premise or in the cloud. An intuitive data console helps data stewards spot new sources of value and resolve data problems. Sophisticated landscape management functionality enables you to create and manage zones of distributed data, data sources and systems, and connections and access points unifying control and increasing visibility. You can build unified workflows and task workflows with the solution including data pipelines, file operations, and flow graphs. And you can orchestrate multiple tasks, execute tasks in a given order, and create graphic models. Engage process chains from the SAP Business Warehouse application, flow graphs from the SAP HANA business data platform, and activities in SAP Data Services software and SAP Predictive Analytics software. Controlling and orchestrating data flows Enjoying universal control and discovery Gaining from efficient data enrichment and compliance 3 / 9

4 SAP Brief SAP Data Hub harnesses the power of massive distributed data processing to create data pipelines built for serverless computing. You can define processing steps centrally and deploy computations to where data resides such as data lakes, data warehouses or marts, and enterprise applications reducing manual steps and significantly accelerating and scaling up data projects. The solution enables you to process data and reuse existing code and libraries through data pipelines consisting of several predefined operations. With SAP Data Hub, you can access connectors to different messaging systems and databases, and to systems that store and read data. You can manipulate data with scripting languages and use process operators to execute code and operators for type conversion with drag-and-drop functionality in a visual interface. You can add machine learning and image-processing functions and customized operators for the data pipelines. By scheduling data pipelines in large cluster environments, you can handle batch-driven and streaming jobs in a single environment. With SAP Data Hub, you can apply unified processing logic for data from any source in the cloud, on premise, and in enterprise and Big Data systems. Controlling and orchestrating data flows Enjoying universal control and discovery Gaining from efficient data enrichment and compliance 4 / 9

5 SAP Brief You have the functionality to oversee the governance and management of all data assets, including metadata and information catalogs and data quality profiles. The solution lets you track data changes. It improves visibility into data use and contributes to more accurate, trustworthy information. Data discovery functionality allows you to learn more about your data by profiling, previewing, and viewing metadata as you navigate through connected systems. You can profile data sets with metrics such as minimum, maximum, pattern, and cardinality to verify data quality and help determine whether metadata accurately describes source data. Controlling and orchestrating data flows Enjoying universal control and discovery You can manage metadata and preview data of your choice in a variety of formats. Gaining from efficient data enrichment and compliance 5 / 9

6 SAP Brief Enjoying universal control and discovery SAP Data Hub lets you centrally manage the connectivity of distributed data, enabling data exploration and providing a consolidated view of all information from sources across business processes and applications. You can create and control data landscape connections, zones, and systems. The intuitive interface provides powerful self-service functionality for business users. With the solution, you get a detailed view of your information catalog and a graphical representation of data correlations across your enterprise, and you can apply system and metadata discovery to browse connected systems. You can cleanse data, expose data sets, model data pipelines, and go from results to actions with automatized workflows. Controlling and orchestrating data flows Enjoying universal control and discovery Control data flows through connected systems including touch points with other processes. Gaining from efficient data enrichment and compliance 6 / 9

7 SAP Brief Gaining from efficient data enrichment and compliance For efficient data enrichment, employ distributed data pipeline processing and refinement using computation techniques such as OLAP, graphing, time series, and machine learning. SAP Data Hub features reusable and configurable operations, including preparation, code execution, connectors, and extract, transform, and load (ETL). It includes extensible operator concepts, such as machine learning operators ranging from simple regression to TensorFlow applications. The solution enables you to co-innovate by building your own opensource operators. You can incorporate complex analysis and enrichment from third-party systems such as location-aware systems. And you can schedule, monitor, and track workflow execution and status across the landscape. SAP Data Hub optimizes compliance throughout the organization. You can synchronize and share data, detect and solve errors, and prove underlying data quality by creating complex validation rules. You can establish and manage security settings and policies for identity control. Gain insights about usage and data quality with automated mapping, taxonomy suggestions, and semantic discovery. Controlling and orchestrating data flows Enjoying universal control and discovery Gaining from efficient data enrichment and compliance 7 / 9

8 SAP Brief Capturing value with comprehensive DataOps management SAP Data Hub improves your ability to manage and understand data and information processes throughout the enterprise and beyond. The unified solution gives you the flexibility to orchestrate and enrich your data in any setting whether for an on-premise, cloud, or hybrid environment. It connects and enhances your control of enterprise data and Big Data with increased data discovery and visibility including metadata management and governance as well as information cataloging leading to valuable business insights. By gaining a global view of your data, you can find opportunities to increase efficiency and security and add business value. Distributed processing greatly increases speed and efficiency. The scalable solution enables end-to-end orchestration, pipeline processing, and data refinement, which helps improve data quality and optimize compliance and data security across the enterprise. Business users can improve productivity and efficiency using intuitive self-service interfaces. Capturing value with comprehensive DataOps management 8 / 9

9 SAP Brief Summary The SAP Data Hub solution enables sophisticated data. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and onpremise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency. Manage increasingly complex information and technology landscapes Work with data from a variety of sources, including Big Data Connect information and data processes and systems Unified data and orchestration Monitoring and management functionality to control and distribute data Integration of data and processes for onpremise, cloud, and hybrid environments Configurable adapters for a variety of systems Increased control and visibility of all your data Better understanding of data from a diverse IT landscape for business insights Improved data security and compliance Greater responsiveness to business opportunities Lower cost and effort of data and metadata management Learn more To find out more, call your SAP representative today or visit us online. 9 / 9

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