A big part of becoming a data-driven enterprise is empowering your employees to work
with data themselves without having to ask IT. Alleviating IT from the burden of simple
data requests lets them focus on high-ROI tasks and ultimately helps to optimize your
organization’s resources. When employees can leverage data in their day-to-day work
quickly it also means better decision making. Extending your SAP HANA for SQL Data Warehousing
with SAP Data Warehouse Cloud will equip you with all the tools to become a
For SAP HANA for SQL Data Warehousing customers, SAP Data Warehouse Cloud is the perfect
complement to your on-premises investment. SAP Data Warehouse Cloud has no
upfront costs, unlike on-premises solutions, and is an enterprise-ready data warehouse
right out-of-the-box that’s fully maintained by SAP. Once you log in, connecting to SAP
SQL Data Warehouse is easy, and our Smart Data Integration (SDI) and Smart Data
Access (SDA) guarantees your data security.
SAP Data Warehouse Cloud Solves Your Biggest Challenges
Reuse your SAP HANA for SQL Data Warehousing models by simply redeploying them to SAP Data Warehouse Cloud, and empower business users to connect, model, and visualize data themselves with SAP Data Warehouse Cloud. With an intuitive UI and the Business Layer, data is easy to model in SAP Data Warehouse Cloud using either SQL or a graphical drag-and-drop tool. This way IT and business users can work together in the same governed environment. Spaces provide an isolated environment where business users can model and blend global datasets with local data, like CSV files.
Federation and virtualization in SAP Data Warehouse Cloud allows business users to access the data they need without IT replicating and exporting the data. SAP Data Warehouse Cloud is supporting the separation into Data Layer Spaces and Business Model Spaces including the ability to map and re-map between the different Spaces to provide Top-Down and Buttom-Up modeling capabilities. It’s easy for IT to jump in at any time to enhance a model for reuse throughout the organization —without having to rebuild the model in a different environment.
SAP Data Warehouse Cloud offers out of the box integration with SAP SQL Data Warehouse. Once connected in a hybrid scenario, SAP HANA for SQL Data Warehousing is directly connected to SAP Data Warehouse Cloud and will enable you to deploy your Web IDE objects directly to HDI-Container which are assigned to SAP Data Warehouse Cloud managed Spaces. With an intuitive UI, SAP Data Warehouse Cloud provides integrated access to all your data sources and objects – SAP BW, SQL, and Web IDE – through one centralized gateway. With both SQL and graphical drag-and-drop modeling, SAP Data Warehouse Cloud enables IT and business users to work together in one central environment and model in whichever way they chose.
SAP Data Warehouse Cloud is a complete end-to-end solution that takes care of all your employees’ data needs from integration to modeling and analytics, to minimize the need for ad-hoc solutions. It’s also open so you can connect any HANA certified third-party tools via the open SQL schema your employees use and then govern them centrally. No matter the employee’s role or department, SAP Data Warehouse Cloud helps you define clear authorizations and assign user roles. Spaces provide IT with company-wide visibility and governance over any data sources and connections.
Balance secure central governance, on the fly change requests, and business user empowerment with SAP Data Warehouse Cloud’s Spaces. Spaces are isolated environments that allow business users to explore data. In Space Management, IT can set up and quickly adjust each Space’s data connections, user access, and computing/storage quotas. While each Space is isolated, the data remains centrally governed and connected in real-time to the organization’s underlying data. Business users are empowered in their Space to establish connections to new data sources, upload local files, and model data before sharing insights in real-time with other users without affecting the integrity of the underlying data.