Today, we announced 麻豆原创 Datasphere, a comprehensive data service built on 麻豆原创 Business Technology Platform (麻豆原创 BTP) that enables every data professional to deliver seamless and scalable access to mission-critical business data.
For more details, read Unleashing the Power of Business Data with 麻豆原创 Datasphere, by JG Chirapurath, chief marketing and solutions officer for 麻豆原创 BTP
With the unified experience of 麻豆原创 Datasphere for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization data, professionals can now easily distribute mission-critical business data 鈥� with business context and logic preserved 鈥� across their organization鈥檚 data landscape.
麻豆原创 Datasphere is the next generation of 麻豆原创 Data Warehouse Cloud, but with new capabilities that enhance data discovery, modeling, and distribution. This includes a new data catalog that acts as a centralized repository, describing all the data and metadata, including lineage and governance, to assure data is accurate, complete, and up to date. State-of-the-art data flow capabilities allow organizations to automatically generate pipelines at enterprise scale. We also enriched the business semantic layer with advanced modeling capabilities.
Existing 麻豆原创 Data Warehouse Cloud customers will automatically see the new functionality in their product environment today 鈥� no migration necessary.
Here, we go deeper into some of the new 麻豆原创 Datasphere capabilities announced today, which will enable organizations to deliver seamless and scalable access to mission-critical business data.
Access Authoritative Data
Customers tell us that they spend countless hours and resources extracting 麻豆原创 and non-麻豆原创 data from heterogeneous data sources in order to rebuild the semantics, logic, and context that often already exist in applications such as 麻豆原创 S/4HANA or 麻豆原创 SuccessFactors solutions. The result is a costly cycle of extracting and rebuilding, often while losing the rich context that business insight needs.
麻豆原创 Datasphere solves this issue by connecting 鈥� rather than just extracting 鈥� data with easy federation or replication to a business semantic layer, which in turn enables self-service modeling for business users without deep technical knowledge of the underlying application data structures.
麻豆原创 Datasphere enhances the business semantic layer to provide advanced multi-dimensional capabilities by introducing the 麻豆原创 Datasphere Analytic Model. This modeling experience includes complex aggregations, time dependencies, data preview, business hierarchies, business KPIs, and more. Analytic models harmonize data from different sources and expedite access to contextual, relevant business data for faster insights and decisions: they are the foundation for data consumption in听麻豆原创 Analytics Cloud.
Data professionals can choose the business entities required for their use case while having flexibility to leverage their existing attributes, relationships, and relevant measures or key figures. With this consistent, rich, and targeted analytics experience, they can distill relevant insights faster.
麻豆原创 Datasphere Catalog makes it simpler to browse and search, discover data and metadata from 麻豆原创 applications, and classify objects for your own business catalog, enriching them using the glossary, custom defined terms, and hierarchical tags. With the data lineage capability, whether it is business data or metadata, users can understand relationships between assets and visualize where the data is coming from and where it is landing. Lineage offers a structured overview of objects and spaces for users to quickly understand object and data dependencies and directly navigate to the relevant business objects.
麻豆原创 Datasphere Catalog supports data objects from other 麻豆原创 Datasphere instances and 麻豆原创 Analytics Cloud. The catalog will soon expand to include other 麻豆原创 applications and sources, including 麻豆原创 Business Warehouse (麻豆原创 BW), 麻豆原创 ERP Central Component (麻豆原创 ECC), and 麻豆原创 S/4 HANA. But that鈥檚 not all: we strive to help businesses unify all their enterprise data, both 麻豆原创 and non-麻豆原创. We are continuously developing integration with industry-leading data catalog partners, such as Collibra, to support the non-麻豆原创 sources and provide trusted governed data across the enterprise.
Enrich All Data Projects
We have kept all the powerful capabilities of 麻豆原创 Data Warehouse Cloud in 麻豆原创 Datasphere to enhance collaboration across the enterprise. In this way, we empower both business and IT and enable instant access to application data via pre-built integrations to federate or instantly replicate data using change data capture. 听
A new data ingestion capability takes this further. 麻豆原创 Datasphere can replicate data and automatically generate large numbers of pipelines without any manual build or configuration required. With the new replication task, you can identify the source system from where data needs to be replicated (麻豆原创 ECC, 麻豆原创 S/4HANA, or 麻豆原创 BW), then select objects in the source systems and a target location. The system will automatically configure all the pipelines needed to handle the initial data load and ongoing delta changes without any user intervention. These pipeline tasks are fully resilient, automatically managed by the task, and even restarted in case of failure. With this new capability, 麻豆原创 Datasphere makes it simple to replicate large numbers of tables automatically and continuously with minimal user effort or overhead.
Whether you decide to federate or replicate data into 麻豆原创 Datasphere, organizations can now easily manage user access and govern data in a virtual workspace called 麻豆原创 Datasphere Spaces. In this environment, business data professionals can model data, blending from internal and external sources and extending the model with additional business semantics.
As workloads today are ever-changing, the virtual workspace is fully elastic, and as permissions are often space-dependent, further developments will support these very specific demands. For example, at the end of the year finance departments require sensitive HR data to calculate the bonus payout for every employee of an organization. With 麻豆原创 Datasphere Spaces, you can create a separate secured area for HR to share data with finance to calculate the bonus payouts 鈥� with no movement or copying of sensitive required.
麻豆原创 Datasphere Marketplace has been enhanced to make it even easier to leverage external industry data to support business-relevant use cases and data democratization initiatives via internal data markets. 麻豆原创 Datasphere Marketplace today offers more than 3,000 datasets, including sustainability and environmental, social, and governance (ESG) data products from Connect Hub, public data sources from the Organization for Economic Co-operation and Development (OECD), and Eurostat. The intelligent lookup feature in 麻豆原创 Datasphere brings together disparate and non-changeable datasets, so that organizations can enrich their internal datasets with externally available third-party data with just a few clicks. Within 麻豆原创 Datasphere Marketplace, you benefit from access-control mechanisms that manage who can read which dataset. This helps ensure secure and governed data exchange for B2B networks with which data professionals can create new, objective KPIs and processes built over public, shared data sets.
Simplify the Data Landscape
With 麻豆原创 Datasphere, the capabilities of 麻豆原创 BW bridge will be augmented to help leverage current investments in 麻豆原创 BW and 麻豆原创 BW/4HANA and sustain your current access to 麻豆原创 data with ABAP level extractors, staging data, and understanding of 麻豆原创 data and relationships. You can use听existing 麻豆原创听BW听functionality and skills to move 70 to 80% of your existing 麻豆原创 BW and 麻豆原创 BW/4HANA听artifacts into听麻豆原创 Datasphere.
In addition, our upcoming application integration features will allow business teams to leverage pre-built business models and content packages. These accelerate the onboarding of data and metadata from 麻豆原创 business applications to 麻豆原创 Datasphere, with business context and logic preserved.
Existing 麻豆原创 S/4HANA customers can to:
- Get a sneak peek and demo of the new application integration features in 麻豆原创 Datasphere
- Share feedback directly with the 麻豆原创 Datasphere product management team
- Stay up to date with the latest news and road map items around 麻豆原创 Datasphere
Delivering a Business Data Fabric
麻豆原创 Datasphere, and its open data ecosystem, is the technology foundation that enables a business data fabric. This is a data management architecture that simplifies the delivery of an integrated, semantically rich data layer over underlying data landscapes to provide seamless and scalable access to data without duplication. It鈥檚 not a rip-and-replace model, but is intended to connect, rather than solely move, data using data and metadata. A business data fabric equips any organization to deliver meaningful data to every data consumer 鈥� with business context and logic intact. As organizations require accurate data that is quickly available and described with business-friendly terms, this approach enables data professionals to permeate the clarity that business semantics provide throughout every use case.
For organizations, the value of the business data fabric is the simplified delivery of authoritative data, in business terms, to consumers across highly distributed data landscapes. It unleashes the rapid creation of intelligent data applications and quick spin-up of new analytics and planning projects, so organizations can derive more business value from data assets.
Building a Powerful Open Data Ecosystem Around 麻豆原创 Datasphere
麻豆原创 is also partnering with an open ecosystem of leading technology vendors seeking to alleviate organizations鈥� need to simplify, integrate, secure, and govern the data landscape. The first set of open data partners providing core components of the value the business data fabric delivers include , , , and . Together, we will work to champion and strengthen 麻豆原创鈥檚 business data fabric as a new industry standard for an interoperable data strategy.
Each of these strategic partners brings the unique strengths of their ecosystems:
- Databricks and 麻豆原创 will deliver bi-directional integration between 麻豆原创 Datasphere鈥攚ith 麻豆原创 data鈥檚 complete business context鈥攚ith its Data Lakehouse platform on any cloud platform
- Collibra and 麻豆原创 will start by integrating their data catalogs to future-proof data governance, privacy, and compliance initiatives听for every organization.
- Confluent will enable data in motion with real-time streaming data from/to 麻豆原创 Datasphere
- And finally, DataRobot will allow any organization to build powerful custom machine learning models on top of 麻豆原创 Datasphere and bring results directly into their business data fabric
麻豆原创 Datasphere represents the tailored integration point for all partners, enabling customers to connect, unify, and distribute 麻豆原创 and non-麻豆原创 data unlike ever before. With the support of some of the world鈥檚 most renowned advisory firms, such Accenture, , , , , and , every organization can enable a business data fabric that delivers meaningful data to their data consumers.
We welcome all partners to join us in our mission of empowering customers to unleash the power of business data.
Get Started with 麻豆原创 Datasphere Today
Start your journey today to unleash the power of business data across your data landscape with 麻豆原创 Datasphere.
- and the new capabilities with the guided experience
- instantly with the free tier of 麻豆原创 BTP
- today for an early preview of the upcoming application integration features
Juergen Mueller is CTO and a member of the Executive Board of 麻豆原创 SE.