Knit your enterprise success with a Data Fabric architecture

Strategic initiatives based on Customer Experience, Operational Resilience, Agility and Data Governance are critical factors to enable your organisation to make intelligent decisions. It all comes down to how well enterprises understand, segregate, manage and persist their data. 

Intelligent, composable businesses need an adaptive Data Fabric architecture that enables agile decisions at speed and scale.

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Simplify your data management and governance in complex environments like hybrid or multi-cloud.

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A Data Fabric’s primary concept is to stop thinking of databases, data lakes, data warehouses, or data marts as fixed stores of data. Instead, it views data as flowing through a broad network “on tap”, where the correct data is available at the right location and the proper application at the right time.

A common data fabric within an organization can provide the scalability and processing capabilities needed for digital transformation. Enterprises can use the data fabric platform to manage the growing volumes and complexity of data to generate business-ready insights and stay ahead of the competition.

Deep Dive into Data Fabric

The Benefits of a Data Fabric Architecture

Deep Dive into Data Fabric

What is Data Fabric?

Data Fabric with IBM Cloud Pak for Data

With its capabilities to connect data everywhere, run workloads anywhere; and build, deploy and manage AI at scale in hybrid cloud environments, IBM Cloud Pak for Data results in trusted outcomes for your AI initiatives.

The platform delivers seamless integration across a hybrid enterprise for:

IBM Cloud Pak for Data services
External applications and data sources
Advanced AI-based capabilities for data management and governance

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Top 3 benefits of a Data Fabric

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Data Fabric for streamlined data management, monitoring, and governance

Features of Data Fabric

Integrated Experience

Integrate all the tools, processes, and data sources to a single access source to achieve greater efficiency, improve utilisation of resources, and derive better enterprise decisions—a one-stop solution for all your data management needs.

Built-in Data Governance

Easy compliance with the latest data regulations, access control, and data security standards. Understand and organise your data better to lay the right kind of AI foundation.

Hybrid multi-cloud AI services

Manage end-to-end data workflows on a multi-cloud architecture to ensure easy accessibility for AI. Deploy security data points across clouds to index data assets.

Data Virtualization

Control and access your data, querying across multiple data repositories wherever they are present across the organisation.

Self-service data consumption and collaboration

A single point of access to find, understand, shape, and consume data throughout the organisation Increased data agility
Easy scaling of extensive and customizable metadata management
Self-service access to trusted and governed data

Automated governance and data protection

Increased agility, security, and productivity for data engineers, data scientists, and business analysts
One database for multiple global data sources
Possible to discover personally identifiable information (PII) and critical data elements at a large scale

Automate data engineering tasks and augment data integration

Automatically optimised data integration
Resiliency and CI/CD automation are built-in
Continuous analysis can be performed in real-time, wherever data lives
Improve delivery of quality data via an automated process to capture changes in real time

Data Fabric FAQs

Here are a few questions around Data Fabric that we come across regularly. Please get in touch with us if you’ve any other queries and our experts will be happy to answer them.

1. Do we need to rip and replace everything in order to implement IBM Data Fabric?
No, the IBM Cloud Pak for Data is a composable service platform. It allows integration with existing architecture provided by IBM, a third party, an IBM partner, or the client’s own solution.

2. We have data and applications spread across multiple clouds and on-premise environments. What advantages do we gain from adopting a data fabric-based architecture?
The advantages of a data fabric architecture in general, coupled with IBM’s data fabric solution are manifold. Here are some of the key advantages:

Reduction in complexity
Cost optimisation
Elasticity in scalability
Ensuring compliance

3. We have heard that data fabric is just Data Virtualization. Is that true?
Not exactly. Data Virtualization is an important part of a data fabric architecture, but it is only one piece of the larger data management puzzle.

4. We are on different Data Governance Solutions. Can we actually benefit by switching to IBM’s data fabric solution?
Yes. IBM Cloud Pak for Data, which is a part of our data fabric solution, is built on a cloud-ready container foundation that enables the platform to be used on any cloud or on-premise environment. Hence the IBM Cloud Pak for Data comes out of the box with support for many non-IBM data sources including data sources on Azure, Google or Amazon cloud.

5. Last year we heard IBM talking about DataOps. Is Data Fabric replacing DataOps?
No. Data Fabric and DataOps are complementary to each other. To be a highly efficient organization, there are three things that need to come together: people, process, and technology. Data fabric is the technology side, and DataOps is the process side. They should be seen as symbiotic.

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Data Fabric with IBM Cloud Pak for Data

Simplify your data management and governance in complex environments like hybrid or multi-cloud.

Deep Dive into Data Fabric

Deep Dive into Data Fabric