Let’s create
Data Fabric
instead of
Data Silos
Read the overview

Read the overview
Let’s create
Data Fabric
instead of
Data Silos
Read the overview

IBM ranks second highest in the Data Fabric use case

See why in the 2021 Gartner Critical Capabilities for Data Integration Tools.

Read the report

Overview

A data fabric is an information architecture that unifies data across an organization. Agnostic to data environments, processes, use and geography, this architecture helps automate data discovery, data governance and data consumption to deliver business-ready data for analytics and AI.

Top performing enterprises are data driven but research shows that up to 68%¹ of data isn’t analyzed in most organizations and up to 82%² of enterprises are inhibited by data silos. IBM can help you resolve these challenges and optimize the value of data by providing users access to the right data at the right time.

View the infographic (PDF, 385 KB)

Use cases

Enable self-service data consumption

Access self-service, near real-time data quickly so users spend less time finding the right data and more time adapting to tangible market insights.

See why a data fabric matters (2:33)

Automate governance and data security

Apply industry-specific governance rules quickly across enterprise data by using active metadata to enable automatic policy enforcement for data protection.

See why a data fabric matters (20:22)

Integrate data across any cloud

Make trusted data available quickly in hybrid and multicloud data landscapes. Automate data engineering to simplify access to data. Re-use data management capabilities for greater efficiencies.

See why a data fabric matters (1:11)

Use cases

Enable self-service data consumption

Access self-service, near real-time data quickly so users spend less time finding the right data and more time adapting to tangible market insights.

See why a data fabric matters (2:33)
Woman sitting in chair at desk looking at computer with several sticky notes on white board behind her

Automate governance and data security

Apply industry-specific governance rules quickly across enterprise data by using active metadata to enable automatic policy enforcement for data protection.

See why a data fabric matters (20:22)
Person standing at tall desk looking at computer

Integrate data across any cloud

Make trusted data available quickly in hybrid and multicloud data landscapes. Automate data engineering to simplify access to data. Re-use data management capabilities for greater efficiencies.

See why a data fabric matters (1:11)
Person sitting in chair looking at four large monitors

Features

Democratize quality data

Augmented knowledge

An abstraction layer that provides a common business understanding of the data and automation to act on insights.

Intelligent integration

A range of integration styles to extract, ingest, stream, virtualize and transform data, driven by data policies to maximize performance while minimizing storage and costs

Self-service

A marketplace that supports self-service consumption, letting users find, collaborate and access high-quality data


Unified data lifecycle

End-to-end lifecycle management for composing, building, testing and deploying the various capabilities of a data fabric architecture

Multimodal governance

Unified definition and enforcement of data policies, data governance and data stewardship for a business-ready data pipeline

Designed for AI and hybrid cloud

An AI-infused composable architecture built for hybrid cloud environments

Features

Democratize quality data

Augmented knowledge

An abstraction layer that provides a common business understanding of the data and automation to act on insights.


Intelligent integration

A range of integration styles to extract, ingest, stream, virtualize and transform data, driven by data policies to maximize performance while minimizing storage and costs


Self-service

A marketplace that supports self-service consumption, letting users find, collaborate and access high-quality data


Unified data lifecycle

End-to-end lifecycle management for composing, building, testing and deploying the various capabilities of a data fabric architecture


Multimodal governance

Unified definition and enforcement of data policies, data governance and data stewardship for a business-ready data pipeline


Designed for AI and hybrid cloud

An AI-infused composable architecture built for hybrid cloud environments


Why IBM?

Holistic view across a distributed data landscape

Intelligently integrate and unify data across hybrid and multicloud to deliver trusted data and speed time to business value.

Read the report

Automated governance

Automate and enforce policies and rules automatically and consistently across data on any cloud with increased visibility and collaboration while reducing compliance risks.

Read the blog post

Faster, more accurate insights

Consolidate data management tools and minimize data duplication for faster access to higher quality and more complete data that renders deeper insights.

Read the blog post

The platform

Data fabric delivered on IBM Cloud Pak for Data

IBM Cloud Pak for Data provides a data fabric solution for faster, trusted AI outcomes by connecting the right data, at the right time, to the right people, from anywhere it’s needed. Use a unified platform that spans hybrid and multicloud environments to ingest, explore, prepare, manage, govern and serve petabyte-scale data for business-ready AI.

Explore the IBM data fabric solution

Next steps

Data management tools started with databases and evolved to data warehouses and data lakes as more complex business problems emerged. A data fabric is the next step in the evolution of these tools. With this architecture, you can continue to use the disparate data storage repositories you’ve invested in while simplifying data management. A data fabric helps you optimize your data’s potential, foster data sharing and accelerate data initiatives by automating data integration, embedding governance and facilitating self-service data consumption in a way that storage repositories don’t.

Data virtualization is one of the technologies that enables a data fabric approach. Rather than physically moving the data from various on-premises and cloud sources using the standard extract, transform, load (ETL) process, a data virtualization tool connects to different data sources, integrates only the metadata required and creates a virtual data layer. This allows users to use the source data in real time.

Data continues to compound and is often too difficult for organizations to access information. This data holds unseen insights, which results in a knowledge gap.

With data virtualization capabilities in a data fabric architecture, organizations can access data at the source without moving it, helping to accelerate time to value through faster, more accurate queries.

Watch: Data virtualization in a data fabric (4:42)

Next steps

Data management tools started with databases and evolved to data warehouses and data lakes as more complex business problems emerged. A data fabric is the next step in the evolution of these tools. With this architecture, you can continue to use the disparate data storage repositories you’ve invested in while simplifying data management. A data fabric helps you optimize your data’s potential, foster data sharing and accelerate data initiatives by automating data integration, embedding governance and facilitating self-service data consumption in a way that storage repositories don’t.

Data virtualization is one of the technologies that enables a data fabric approach. Rather than physically moving the data from various on-premises and cloud sources using the standard extract, transform, load (ETL) process, a data virtualization tool connects to different data sources, integrates only the metadata required and creates a virtual data layer. This allows users to use the source data in real time.

Data continues to compound and is often too difficult for organizations to access information. This data holds unseen insights, which results in a knowledge gap.

With data virtualization capabilities in a data fabric architecture, organizations can access data at the source without moving it, helping to accelerate time to value through faster, more accurate queries.

Watch: Data virtualization in a data fabric (4:42)

Try the IBM data fabric

Contact us now to schedule your 7-day, no-cost assisted trial.

Book a meeting

Footnotes

¹Rethink Data: Put More of Your Business Data to Work – From Edge to Cloud (PDF, 8.3 MB, link resides outside ibm.com), Seagate Technology, July 2020
²“Are Data Silos Killing Your Business?”, a commissioned study conducted by Forrester Consulting, October 2020 (link resides outside ibm.com)