One of businesses’ prime objectives is to provide meaningful insights to its consumers depending on the business context while keeping the business logic intact. SAP Datasphere’s business fabric architecture lays the foundation for seamless data management across different systems such as SAP and non-SAP systems.
SAP has announced its vision towards creating a powerful open data ecosystem around SAP Datasphere. For the fruition of this vision, SAP has partnered with leading technology vendors that are closely integrating their data and AI platforms with SAP Datasphere.
The following image gives a brief overview of these partnerships.
Source: SAP
SAP Datasphere and Confluent
Harnessing the value of real-time business data
SAP has partnered with Confluent, a leader and pioneer in enterprise data streaming, to strengthen Datasphere with Confluent’s leading cloud-native data streaming platform. The business data fabric, with SAP Datasphere as its foundation, enables seamless and scalable access to mission-critical business data and delivers meaningful information to every data consumer with semantics and business logic intact.
Confluent provides SAP customers with a cloud-native and complete data streaming platform available everywhere their SAP data needs to go. Together, with Confluent Cloud SAP Datasphere is delivering new data streaming capabilities that provide a simple way to connect data from SAP solutions with any cloud or on-prem systems, in real time, while avoiding the costs and complexities of open source infrastructure management.
Source: SAP Blog
With Confluent data stream capability, customers can,
- Build real-time applications with SAP data at a lower cost with fully managed data streams
- Stream SAP data anywhere it needs to go and merge with 3rd party sources in real-time
- Maintain strict security, compliance, and governance standards
Learn More – SAP BW Bridge with Datasphere for Cloud Transformation
Together, SAP and Confluent will simplify the data experience and make it easier for customers to stream and connect business-ready SAP data to external systems and applications in real time.
SAP Datasphere and Databricks
Ways to Unlock the Value of Business Data
One of these key partnerships is with Databricks, which delivers an open and unified Data Intelligence Platform for data, analytics, and AI use cases. This partnership enables a powerful open data ecosystem around SAP Datasphere with Databricks Lake House to bridge the gap of providing a solution or tool that delivers advanced analytics for data science use cases in conjunction with non-SAP and big data. Additionally, it unlocks future innovation possibilities in a business data fabric architecture without the need to move data outside of SAP.
The enhanced interoperability between SAP Datasphere and Databricks ensures that your data engineers, analysts, and data scientists no longer spend countless hours extracting SAP data and rebuilding its critical semantics starting from scratch. Instead, they can use SAP Datasphere as the tailored integration point to connect, unify, and manage SAP and non-SAP data without duplication using SAP Datasphere which enables extended planning and analysis and gaining more accurate predictions from AI.
Learn More – Understanding SAP BTP – A Beginner’s Guide to SAP’s New Digital Transformation Platform
This partnership is a game changer because it tackles some big challenges in the data world – like high data latency, data loss, and the hassle of rebuilding the business context in data lakes which is basically the number one pain point affecting customers. Additionally, it’s a more cost-effective solution for managing and analyzing data.
Reference architecture of SAP Datasphere and Databricks integration. Picture credits: Databricks.
SAP Datasphere and Collibra
Simplifying complex data ecosystem
In a world, where data assets are distributed all over our company and an overview and understanding of our data is getting more and more important, a data catalog is clearly recommended and will become a cornerstone of the data culture within the data-driven organization.
SAP is partnering with Collibra for bi-directional metadata exchange so that customers can run end-to-end data governance data catalog, data lineage, and data quality support for complex environments and organizational structures with SAP and non-SAP data for an enterprise-wide data governance foundation, and allow organizations to maintain transparency and accountability, while also ensuring adherence to regulatory, compliance, and privacy policies.
With Collibra customers can achieve,
- Data governance: Establish a data governance foundation with a complete data catalog and lineage spanning both SAP and non–SAP systems
- Data quality: Automate data monitoring and rule management to manage and scale data quality
- Data privacy and compliance: Centrally manage policies, maintain compliance, and minimize risk across SAP and non–SAP data
Collibra helps businesses to improve productivity and empower data users to make data-driven decisions. Users gain a unified view of business-critical data and can easily and quickly discover, understand, trust, and access data while supporting data privacy.
SAP Datasphere and DataRobot
Custom AI solution for Enterprise
SAP Datasphere partners with DataRobot and provides enterprises with a data science platform that connects core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Its user-friendly interface makes it accessible to a wide range of business users including business analysts, citizen data scientists, and expert data scientists. An efficient ML / AI backbone engine helps in significantly reducing time to value driven from the business processes data.
This joint solution thus helps enterprises get even more value out of their existing SAP and non-SAP business data by applying machine learning with broad interoperability across existing machine learning libraries and frameworks, and end-to-end capabilities for Experimentation and Production.
With DataRobot and SAP customers can achieve,
- Leverage powerful machine learning on top of SAP Datasphere and bring it to their business data fabric – on whichever cloud platform it resides.
- Facilitate collaborations between business teams and data science teams to create accurate and robust ML models and integrate predictions directly into SAP business applications through SAP AI Core
- Monitor model performance, regardless of where it is deployed, using DataRobot MLOps
- Detect and mitigate bias for more responsible use of ML models
Conclusion
SAP Datasphere empowers organizations to unlock the full potential of their business data, enabling intelligent decision-making, improved operational efficiency, and driving digital transformation. With its unified data integration, data quality and governance, advanced analytics, cloud-native architecture, collaboration capabilities, and accelerated time-to-value, SAP Datasphere serves as a comprehensive data management and analytics solution for the modern enterprise.
