What is SAP Datasphere?

Before we talk about SAP Datasphere, we must understand what is data fabric.

What is a data fabric? - Data fabric is a centralized data architecture that serves data consumers with integrated, governed, fresh data – for analytical and operational workloads.

SAP Datasphere, a comprehensive data service built on the SAP Business Technology Platform (SAP BTP), is the foundation for a business data fabric. It equips any organization to deliver meaningful data to every data consumer — with business context and logic intact.

It provides capabilities from data ingestion through to self-service data access across SAP and non-SAP data.

So you may be asking why a business data fabric vs just a data fabric? Here are four benefits a business data fabric provides to the business.

SAP Datasphere provides a multi-cloud, multisource business semantic service for enterprise analytic and planning. Generally available since 2019, SAP Datasphere is the latest innovation in the Data Warehousing portfolio of SAP. It is based on the SAP HANA Cloud Platform and follows a clear DWaaS (Data Warehouse as a Service) approach in the public cloud with very fast release cycles.

SAP Datasphere is the next generation of SAP Data Warehouse Cloud, enabling a business data fabric. It offers a unified experience for data integration, cataloging, semantic modeling, warehousing, federation, and virtualization. It combines previously discrete capabilities into a unified service for data integration, cataloging, semantic modeling, data-warehousing, and virtualizing workloads spanning SAP and non-SAP data. SAP Datasphere preserves the full meaning and context of SAP data across systems and clouds, and integrates with other data vendor’s platforms, to deliver seamless and scalable access to one authoritative source of your most valuable enterprise data. SAP Datasphere leverages existing data investments and doesn’t require moving data into yet another data store, it radically simplifies your data landscape ensuring inherent governance throughout the data life-cycle.

A comprehensive data service built on SAP Business Technology Platform (SAP BTP) that enables every data professional to deliver seamless and scalable access to mission-critical business data.
It allows us to converge data coming from SAP and third party on-premise and cloud environments into a single, fully managed cloud environment to allow your organization to radically simplify your data warehouse landscape. 

From March 8th, 2023, SAP presented SAP Datasphere as the successor product for SAP Data Warehouse Cloud (DWC). Existing implementations in the SAP DWC can continue to be used as usual, investment security is guaranteed. Since the software update is managed by SAP, the customer does not have to take any action. SAP Datasphere is characterized by the stronger, functional integration of SAP Data Intelligence, as well as the new Analytic Model as the central data model type. In addition, the data catalog will be expanded so that a central metadata repository is made available.

SAP Datasphere is a SaaS offering from SAP which uniquely harmonizes mission-critical data across the organization, unleashing business and technical experts to make the most impactful decisions. It combines previously discrete capabilities into a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across SAP and non-SAP data.

Utilities can adopt a cloud-only approach, a hybrid approach where only parts of the data warehouse move to the cloud or use the SAP BW Bridge to leverage their existing investments in SAP BW/4HANA in the cloud. 

On top of SAP Datasphere, SAP Analytics Cloud provides advanced analytics, planning, and predictive capabilities to enable better data-driven decision-making, and SAP Digital Boardroom is an add-on that provides real-time insights into integrated line-of-business data for top decision-makers in utilities companies.

Comments

Popular posts from this blog

SAP Datasphere Data Integration - Part 1 - Introduction and Integration using Remote Tables

SAP Datasphere - Data Integration - Part 2 - Data Integration based on Data Flows and External Sources

SAP Datasphere - Data Builder types and creation of Tables