Merge all data and use it immediately: With a smart data fabric, companies should be able to break down their data silos effortlessly. […]
According to a survey by Vanson Bourne and MuleSoft, 89 percent of IT leaders worldwide see their own data silos as a crucial challenge for the digital transformation of their company. They lack a unified, all-encompassing view and linkage of all available data. For companies, however, this is essential if they want to make informed decisions and implement data-driven business models.
Traditional solutions such as a data warehouse or a data lake cannot cope with the challenge of integrating information across all data sources and formats in a timely manner and making it immediately usable. That’s why the concept of Data Fabric was designed. With a view to the current and future requirements for direct operationalization of company data, the further development of the Smart Data Fabric establishes a modern solution for data management. But what distinguishes a data fabric from a Smart data fabric?
Data Fabric stands for all-encompassing interoperability
A data fabric is a structure of connections between various data sources that provides cross-interoperability, thereby simplifying and speeding up access to information. It quickly merges data from all relevant internal and external sources and cleans and harmonizes them. This is particularly important in view of the increasing parallel use of on-premise, hybrid cloud and cloud infrastructures.
The data fabric builds on the existing IT infrastructure and basically continues to use it. Existing technologies, applications and services can therefore continue to be used – so there is no need for a costly rip-and-replace approach. And data silos are now a thing of the past.
Smart Data Fabric: Evaluate data directly
The Smart Data Fabric is the modern continuation of the data Fabric. With it, the full potential of data can be tapped almost without loss of time. By extending the architecture with embedded functions for big data analytics, artificial intelligence and machine learning, the Smart Data Fabric provides the foundation for real-time data analysis.
In this way, historical and current data can be directly combined to quickly and easily gain new insights, make informed decisions immediately and better predict future events. The basis for this is a hybrid Transactional / Analytical Processing (HTAP), which promises very high performance and efficiency even with parallel workloads.
Advantages of a Smart Data Fabric
The Smart Data Fabric provides a central view of all data in the company – a single source of truth (SSOT). This comprehensive transparency allows better business decisions. Businesses get easy and quick access to a variety of clean data, also known as healthy data. This data is always up-to-date, accurate and trustworthy. Thanks to them, companies also gain flexibility and are able to react more dynamically to business requirements and problems. Innovative new developments relating to its own products and services can also be implemented quickly with the Smart Data Fabric, as it provides all the information necessary for this.
“The Smart Data Fabric offers an invaluable competitive advantage. The all-encompassing availability of business-relevant information enables companies to quickly make the right decisions, drive innovation and design data-driven business models. The Smart Data Fabric can be implemented with a data platform such as InterSystems IRIS,“ explains Jochen Boldt, Sales Director at InterSystems. “Their best-in-class performance, interoperability, free scalability and security make it easy and fast to deploy an enterprise-wide smart data fabric.“
* Bernhard Lauer is a freelance editor of dotnetpro and is responsible for the section Basic Instinct. With Visual Basic, he has been programming privately since version 1.0.