SAP Datasphere ease of use
SAP DataSphere provides significant contributions to companies in the field of data management and analytics. With the advantages it …
Overview
What is SAP Datasphere?
SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic…
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What is SAP Datasphere?
SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data…
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What is SAP Datasphere?
SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data landscape.
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What is SAP Datasphere?
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SAP Datasphere Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Countries | Global |
| Supported Languages | Global |
Frequently Asked Questions
Azure Synapse Analytics and Db2 are common alternatives for SAP Datasphere.
Reviewers rate Support Rating highest, with a score of 9.
The most common users of SAP Datasphere are from Enterprises (1,001+ employees).
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January 03, 2022
Best in the market
Empowering Business With SAP Data Warehouse CloudWith SAP Data Warehouse Cloud, we now have a tool that lets us connect the right person to the right data with a few clicks of a button. Our front-end developers and business analysts will have access to the data they need in a modeling environment that does not require deep technical knowledge. Ultimately, we want to make the experience simple for business users and enable them to access content via SAP Analytics Cloud regardless of the underlying data sources. This kind of standardization is essential in large organizations like ours. The first point which draw our attention is how easy was to make use of the tool. Power users with no experience whatsoever managed to build solutions in a couple of hours. Second is the enablement of Live SQL connection towards SAC, this was considered a major gap in SAC however now we make use of DWC to overcome that gap. The third point is DWC brought the possibility to cover all modeling gaps we used to face when using only SAC and on top of that now we have the ability to code precisely what we need. The possibilities are close to endless!
- Connect data across multi-cloud and on-premise repositories in real-time while preserving business context
- Get insights into real-time data and analyze all types of structured, unstructured, and geospatial data with in-memory speed
- Accelerate implementation with pre-integrated database, data warehouse, data intelligence, data lake, and analytics capabilities
- Reuse your existing BW models, transformations, and customizations with the BW bridge option. Accelerate time to value and capitalize on existing investments.
- Application development is not supported in SAP Data Warehouse Cloud, SAP BW bridge. Any app-building should be done “natively” using the SAP BTP app-building on SAP HANA, for that customers need to license and use the stand-alone version of SAP BTP.
- Customers do not have the option to connect with SAP GUI to SAP Data Warehouse Cloud, SAP BW bridge.
- Queries are not supported.
- It allows us to centralize our most relevant data.
- It allows us to centralize our most relevant data.
- Retrieval of large data is slow
December 19, 2021
My thoughts toward SAP Data warehouse cloud utilization
The SAP Data Warehouse Cloud is being used across the whole organization to allow us to have an end-user self-service analytics competency, production of data, and utilizing enterprise.
- Connecting data across multi cloud
- Data modeling is simplified with it
- It saves time by managing data in the cloud
- It's very secure in terms of workspace and sharing of data
- It might be complicated to first users
- Sometimes it's expensive but I would say it's worth its price since it never disappoints once you get used to it.
- Easy to analyze all sorts of data
- It has improved in productivity and efficiency
- It's very secure in safeguarding any data in the organization
- Easy to make business decisions with the help of reporting tools and analytics
November 12, 2021
Connect, Collect, Visualize and Analyze Data Via Self-Service Analytics with SAP Data Warehouse Cloud from On-Premises & Cloud Data Centers.
SAP Data Warehouse Cloud is currently being used across most of departments in our organization to unify data and analytics in a cloud solution. With this tool, it is easy for business users to better understand data by analyzing it on their own without involving data scientists or any coding.
- SAP Data Warehouse Cloud makes it easy to connect and collect structured and unstructured data from scattered on-premises and cloud data repositories.
- With SAP Data Warehouse Cloud, it is effective for multiple users to collaborate on the same data, share data and transform it to insights.
- Built in data analytics and end-to-end data solution on SAP HANA enhances in-memory data processing by virtualizing, visualizing and analyzing data in real-time.
- With SAP customer support and online community channels, I am able to get help whenever I encounter challenges. Currently, all the bugs that we used to encounter has been eradicated by the new version update.
- Centralizing data access for all functions reduces cost on data analyzation in different on-premises and cloud applications.
- With built-in data models available on SAP Data Warehouse Cloud, it is easy to reuse resources hence reducing operational costs.
- SAP Data Warehouse Cloud offers business users with a self-service access to data in order to reduce data IT experts, enabling them to better understand company information.
- Additionally, SAP Data Warehouse Cloud redact data to make sure that it doesn’t get accessed to inappropriate users.
- Finally, SAP Data Warehouse Cloud safeguard data via embedded security features like multi-factor authentication that eradicates cyberattacks.
October 12, 2021
Collect, Harmonize, Model and Visualize Data from Multiple SAP and NON-SAP Repositories with SAP Data Warehouse Cloud
As Production Engineer, It is my duty to collect, combine and harmonize data from different sources to one unified location with SAP Data Warehouse Cloud. This data modeling tool is widely used in our organization, but some of the departments haven’t yet incorporated it yet.
- Creating data models that makes it easy for other business users to collect, integrate and harmonize data in one solution.
- Improving the quality of information by removing duplicated data to create more space in the cloud.
- Data governance allows users to create spaces that enhance the creation of spaces and management of storage quotas.
- With SAP Data Warehouse Cloud Community we are able to interact with other users and implementation team that makes it easy to improve knowledge between each member.
- Preparing CSV files that help transform static data to insights such as graphs and maps.
- Data integration from SAP and non SAP repositories helps in accessing data in one integrated solution. Thus, time taken accessing data is less consumed than when accessing from one platform to another tool.
- Single sign-on allows me to import models from SAP/4HANA and other SAP services.
- No IT support is required to manage and integrate data with SAP Data Warehouse Cloud since it is easy to use and offers free tutorials and documentation.