SAP DATASPHERE: GAME-CHANGING LEAP WITH COLLIBRA, CONFLUENT, DATABRICKS & DATAROBOT PARTNERSHIPS

What is the SAP Datasphere announcement all about?

SAP has unveiled the SAP Datasphere solution, the latest iteration of its data management portfolio that simplifies customer access to business-ready data across their data landscape. In addition, SAP has formed strategic partnerships with leading data and AI companies such as Collibra, Confluent, Databricks and DataRobot to enrich the SAP Datasphere and help organizations develop a unified data architecture that securely combines SAP and non-SAP data.


What is SAP Datasphere?

SAP Datasphere is a comprehensive data service that delivers seamless and scalable access to mission-critical business data and is in essence the next generation of SAP Data Warehouse Cloud. SAP has kept all the capabilities of SAP Data Warehouse Cloud and added newly available data integration, data cataloging, and semantic modeling features, which we will continue to build on in the future. More info on the official SAP Datasphere solution page.



Why does this matter to you?

The announcement is significant because it eliminates the complexity associated with accessing and using data from disparate systems and locations, spanning cloud providers, data vendors, and on-premise systems. Customers have traditionally had to extract data from original sources and export it to a central location, losing critical business context along the way and needing dedicated IT projects and manual effort to recapture it. With SAP Datasphere, customers can create a business data fabric architecture that quickly delivers meaningful data with the business context and logic intact, thereby eliminating the hidden data tax.

As a solution partner in this ecosystem, we are excited about the collaboration and the added value it provides:

  • With Collibra SAP customers can deliver an end-to-end view of a modern data stack across both SAP and non-SAP systems, enabling them to deliver accurate and trusted data for every use, every user, and across every source.
  • Confluent and SAP are working together to make it easier than ever to connect SAP software data to external data with Confluent in real-time to power meaningful customer experiences and business operations.
  • Databricks and SAP share a vision to simplify analytics and AI with a unified data lakehouse, enabling them to share data while preserving critical business context.
  • DataRobot and SAP’s joint customers can now also leverage machine learning models trained on their business data with speed and scale to see value faster, using the SAP Datasphere as the foundation layer.

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COLLIBRA DATA CITIZENS 22 – INNOVATIONS TO SIMPLIFY AND SCALE DATA INTELLIGENCE ACROSS ORGANIZATIONS WITH RICH USER EXPERIENCES

Collibra has introduced a range of new innovations at the Data Citizens ’22 conference, aimed at making data intelligence easier and more accessible to users.

Collibra Data Intelligence Cloud has introduced various advancements to improve search, collaboration, business process automation, and analytics capabilities. Additionally, it has also launched new products to provide data access governance and enhance data quality and observability in the cloud. Collibra Data Intelligence Cloud merges an enterprise-level data catalog, data lineage, adaptable governance, uninterrupted quality, and in-built data privacy to deliver a comprehensive solution.

Let’s have a look at the new announced functionality:

Simple and Rich Experience is the key message

Marketplace

Frequently, teams face difficulty in locating dependable data for their use. With the introduction of the Collibra Data Marketplace, this task has become simpler and quicker than ever before. Teams can now access pre-selected and sanctioned data through this platform, enabling them to make informed decisions with greater confidence and reliability. By leveraging the capabilities of the Collibra metadata graph, the Data Marketplace facilitates the swift and effortless search, comprehension, and collaboration with data within the Collibra Data Catalog, akin to performing a speedy Google search.

Usage analytics

To encourage data literacy and encourage user engagement, it’s important to have a clear understanding of user behavior within any data intelligence platform. The Usage Analytics dashboard is a new feature that offers organizations real-time, useful insights into which domains, communities, and assets are being used most frequently by users, allowing teams to monitor adoption rates and take steps to optimize their data intelligence investments.

Homepage

Creating a user-friendly experience that allows users to quickly and easily find what they need is crucial. The revamped Collibra homepage offers a streamlined and personalized experience, featuring insights, links, widgets, and recommended datasets based on a user’s browsing history or popular items. This consistent and intuitive design ensures that users can navigate the platform seamlessly, providing a hassle-free experience every time they log into Collibra Data Intelligence Cloud.

Workflow designer

Data teams often find manual rules and processes to be challenging and prone to errors. Collibra Data Intelligence Cloud’s Workflow Designer, which is now in beta, addresses this issue by enabling teams to work together to develop and utilize new workflows to automate business processes. The Workflow Designer can be accessed within the Collibra Data Intelligence Cloud and now has a new App Model view, allowing users to quickly define, validate, and deploy a set of processes or forms to simplify tasks.

 

Improved performance, scalability, and security

Collibra Protect

Collibra Protect is a solution that offers smart data controls, allowing organizations to efficiently identify, describe, and safeguard data across various cloud platforms. Collibra has collaborated with Snowflake, the Data Cloud company, to offer this new integration that enables data stewards to define and execute data protection policies without any coding in just a matter of minutes. By using Collibra Protect, organizations gain greater visibility into the usage of sensitive and protected data, and when paired with data classification, it helps them protect data and comply with regulations at scale.

Data Quality & Observability in the Cloud

Collibra’s latest version of Data Quality & Observability provides enhanced scalability, agility, and security to streamline data quality operations across multiple cloud platforms. With the flexibility to deploy this solution in any cloud environment, organizations can reduce their IT overhead, receive real-time updates, and easily adjust their scaling to align with business requirements.

Data Quality Pushdown for Snowflake 

The new feature of Data Quality Pushdown for Snowflake empowers organizations to execute data quality operations within Snowflake. With this offering, organizations can leverage the advantages of cloud-based data quality management without the added concern of egress charges and reliance on Spark compute.

New Integrations

Nowadays, almost 77% of organizations are integrating up to five diverse types of data in pipelines, and up to 10 different types of data storage or management technologies. Collibra is pleased to collaborate with top technology organizations worldwide to provide reliable data across a larger number of sources for all users. With new integrations currently in beta, mutual Collibra customers utilizing Snowflake, Azure Data Factory, and Google Cloud Storage can acquire complete visibility into cloud data assets from source to destination and offer trustworthy data to all users throughout the organization.

 

Some of this functionality was announced as beta and is available to a number of existing customers for testing purposes.



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