Revolutionize data management with SAP DWC functions (2023)

Dom>my>Revolutionize data management with SAP DWC functions

In today's world of data-driven processes, companies face many challenges when trying to realize the full potential of their dataIFind a powerful, scalable solution that revolutionizes the way they view, analyze, manage and integrate data from disparate sources and teams.

Enter SAP Datasphere, formerly known as SAP Data Warehouse Cloud (DWC).

By seamlessly integrating data from multiple sources, empowering business users with self-service analytics and leveraging cloud solutions to improve data flow, Data Warehouse Cloud provides unmatched agility, flexibility and insight to drive decision making Make informed decisions and achieve better business results over the long term.

This article provides a comprehensive overview of SAP Data Warehouse Cloud, its key components and capabilities andOur teamYour SAP consultants can provide support.

Read on to find out more!

What is SAP Data Warehouse Cloud?

thisSAP Data Warehouse Cloud(SAP DWC), now known as SAP Datasphere, is a cloud-based data management platform designed to help businesses efficiently and cost-effectively manage and analyze their most important data.

With the core components and functions of SAP Datasphere, companies can consolidate business-critical data from disparate sources into a single schema of the business data structure, facilitating optimization of business processes and faster decision-making.

Understand the basics of business data architecture

While data consumers as well as SAP and non-SAP data (including all data in applications, on-premise and cloud data stores and relational databases) are key components of a successful enterprise data structure architecture, SAP DWC forms the most important part – the foundation.

Without a solid foundation, the enterprise data structure architecture will not function properly, even if the other components are configured, set up, and working as expected. The following are some of the key features of the SAP Data Warehouse solution that make it an integral part of the overall architecture of the business data structure for all business users…

• Data found:This component includes enterprise content, referrals, and data marts to improve the ability of business users to access and review new data sources, improving visibility and performance across the enterprise.
• Data usage:From data consolidation to replication, application integration, and everything in between, SAP DWC makes it easy for user groups to quickly and efficiently consume data as needed to perform tasks and manage their SAP applications.
• Datastyring:With effective management capabilities for metadata, provenance, catalog and privacy information, companies can provide secure and authorized access to data to keep operations secure and compliant over time.
• Self-service tools:Virtual data products enable users to manage information and complete tasks when and where they need to, helping teams increase overall productivity and efficiency.
• Handling function:With advanced data warehousing capabilities and business semantics, users can access analytical and relational data models, facilitating effective data management for any business unit.
• transformation:Data orchestration tools enable users to transform their data into the format required by each business layer or data model across the enterprise and leverage data manipulation to improve the efficiency of data management processes across teams.

Main components of SAP Datasphere

SAP Data Warehouse Cloud contains a comprehensive set of key components designed to provide companies with efficient data management and analytics capabilities and to drive business development and growth.

Let's take a closer look at a few key components of the SAP Datasphere Architecture…

data generator

Data Builder provides capabilities to transform, integrate, and strategically link data through CSV import, SQL-based views, or graphical user interface views.

The component also allows users to create tables and views to prepare important data for stories, drag and drop objects for better visibility, and use the entity relationship model to access, analyze, and establish connections between artifacts through a graphical interface.

business builder

The Business Builder tool in SAP Data Warehouse Cloud helps companies model objects in the business layer more efficiently, making it easy for any business user to create models of business entities and facts that serve as the basis for different consumption models in teams.

With this tool, users can define business models separately from the physical data layer to improve top-down visibility and protect data models from unauthorized access through advanced authorization scenarios in the solution.

story generator

Story Builder enables users to connect their SAP Data Warehouse Cloud with a fully integrated SAP Analytics Cloud for better data management and visualization across systems.

The component simplifies the creation of reports on specific data across the company and improves the visibility of key data in the comprehensive data model, improves the integration of data from different source systems and the connection between the SAP DWC solution and the SAP Analytics Cloud (SAC) ) .

space management

A "room" in SAP Datasphere refers to a small data warehouse for a specific business unit that provides a secure area where system administrators and team members can access, transform and model data and collaborate with other users without extracting the data.

Spaces enable specific business users to more effectively integrate and model their data and create story dashboards that improve visualization and connectivity between data sources and user groups across business units and organizational areas.

scientist

The Explorer component helps users quickly and efficiently locate existing data models and maintain well-defined data modeling capabilities using metadata, including information about the purpose, tags, and team associated with each data source.

data access control

With advanced user authentication controls and a defined role concept, SAP Data Warehouse Cloud provides secure access and more effective control over functional access to data in teams.

Connect

The connectivity component provides users with the necessary functionality to seamlessly connect SAP Datasphere functionality with external non-SAP sources for overall increased visibility, availability and collaboration.

Data integration/process

With SAP Datasphere capabilities, customers can access data from many different sources, including on-premises and cloud solutions such as SAP Analytics Cloud and SAP Business Technology Platform.

The parameters for each link between systems can be configured to a specific link type, name and description for each object.

model import

The model import component enables users to import metadata from existing sources, including SAP BW/4HANA and SAP S/4HANA Cloud, without having to recreate them manually.

The tool makes it easy to create links between each source system and uses Business Builder features to import source metadata from each link.

distant table

Using this tool, users can improve table creation, import source tables directly from the source, and create high-level views for each table, improving the visibility and connectivity of each source and table in the system.

Users can also receive real-time snapshots, schedule replication, or request copies of data changes to maintain consistency and compliance in their data management functions.

Strategic SAP DWC partnership for better integration

Support the architecture of the business data structure and enable more efficient integration of SAP and non-SAP data across systems through strategic partnerships. Here are some examples of collaboration between SAP DWC and other Unified Data Architecture solutions...

1. data block:Partnering with the Databricks platform integrates SAP data with the full context of the Databricks Data Lakehouse platform for enhanced integration.
2. Can:Integration with Confluent's data streaming platform helps companies move data between teams, departments and systems.
3. cockroach:With future-ready data protection, governance and compliance programs, companies can integrate their data without worrying about security and authorization issues.
4. Databot:By connecting DataRobot capabilities, companies can benefit from increased intelligence and automated machine learning tools for improved functionality and end-to-end collaboration.

How can we help you?

Whether you need help implementing a new SAP data warehousing solution in teams, additional help improving the usability of SAP BW Bridge for improved connectivity between solutions, or anything related to data storage, storage and other aspects of administration,guarantee systemHelp here.

Our teamSenior SAP consultants have the technical skills and functional expertise needed to help your business enable more effective data management, improve collaboration across teams, and maximize the long-term value of your SAP investment.

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