SAP Datasphere – 7 frequently asked questions

What is SAP Datasphere?

A comprehensive service included in the SAP Business Technology Platform offering, it combines cloud-based data warehousing capabilities with analytics, database, and integration functions in a single unified solution. The active data mining environment is designed for business users and IT representatives. The new product in SAP’s product portfolio enables better understanding and use of collected data, eliminating the barriers associated with managing large volumes of data, representing a breakthrough advance in the area of business analytics.

What data sources can SAP Datasphere draw from?

To help businesses create a harmonious data architecture, SAP decided to expand its cloud data warehouse functionality, transforming the well-known SAP Data Warehouse Cloud solution into SAP Datasphere. This means that SAP DWC has evolved, gaining new features and a new name. For existing SAP DWC customers who want to take advantage of the new SAP Datasphere features in their IT environment, no additional steps or migrations are required.

Źródło: SAP

How is SAP Datasphere different from SAP Data Warehouse Cloud?

To help businesses create a harmonious data architecture, SAP decided to expand its cloud data warehouse functionality, transforming the well-known SAP Data Warehouse Cloud solution into SAP Datasphere. This means that SAP DWC has evolved, gaining new features and a new name. For existing SAP DWC customers who want to take advantage of the new SAP Datasphere features in their IT environment, no additional steps or migrations are required.

What features have SAP Datasphere been equipped with?

Partnership agreements with four enterprise-class software vendors cover a range of functions for modeling, cataloging, and data mining. Collaboration with Collibra for bi-directional metadata exchange allows customers to comprehensively manage information from across the SAP and non-SAP solution portfolio. Confluent facilitates the merging and processing of data streams in real-time, while Databricks integrates SAP-derived data into the Data Bricks Data Lakehouse platform along with full business context. On the other hand, DataRobot helps customers build automated machine learning functions in SAP Datasphere.

What capabilities does SAP Datasphere offer compared to other data warehouses?

The SAP Datasphere service is available on a simple and predictable cost model depending on the size of the data warehouse. What sets the solution apart from offerings from other vendors is the ease of modeling and data mining, which allows business users to create standalone analyses that do not require IT involvement. The main advantages of SAP Datasphere are scalability, flexibility, built-in tools that guarantee the security of corporate data storage, and access to the software on any device.

How can you best visualize your data by combining SAP Datasphere with SAP Analytics Cloud?

By establishing a connection between two powerful tools from SAP’s portfolio of analytics solutions – Datasphere and SAP Analytics Cloud – you will gain the ability to combine your data sources and extract valuable insights from them. SAP Analytics Cloud offers users an integrated environment for planning, comprehensive business analytics, and forecasting inside a single service. Charts, tables, and other visual elements created with the help of SAC will provide the most relevant information to share with your stakeholders and key decision-makers.

Source: SAP Blogs

What is Data Fabric and how is it related to SAP Datasphere?

Data Fabric solutions enable you to combine and manage data from different systems and applications in real-time. This creates a “single source of truth” (SOS) and makes it easier to access and use data anywhere and anytime, helping to democratize and automate data management processes. The data network also simplifies the entire collection of information, especially in complex distributed architectures, by unifying, cleaning, enriching, and securing data. As a result, the data is ready for use in analytical applications and tools equipped with artificial intelligence and machine learning capabilities. This means that network architecture and solutions make it easier for organizations to harness the potential inherent in data and scale their systems while adapting to a rapidly changing business environment.

Źródło: SAP