Businesses of all sizes and in all sectors are recognizing the importance of proper data management to not only benefit their internal structure but also benefit their consumers. Through data virtualization, sources of all sizes are brought together under a unified infrastructure that not only allows for consistency in information but greater real-time access through proper machine learning capabilities, as well. One of the ways this is accomplished is through a properly implemented data fabric architecture.
Understanding Data Fabric
Business users want to do whatever possible to take any data type to make better business decisions, and data fabric is meant to create the best environment to do so. So, what is data fabric? It’s an end-to-end data integration and management solution that helps companies organize their data. Data fabric provides a unified user experience to allow any member of a business to be able to take part in the analysis and sharing of data in real time. This architecture is designed to help solve complex data problems and use cases, despite the various applications and platforms in which data can be stored.
Data fabric architecture and related technologies are the results of a need for faster access and understanding of all of the information placed before users. It used to be that the objective of data management was just to have a sense of order, now you can extract insights to make better business decisions. With a data fabric, the focus is now on enhancing the quality of the data itself, the accessibility of data sources, and the automated insights derived from it.
What It Does
Maximizing the value of your data sources is a complex problem, but the right data fabric architecture can give any size business a competitive edge in its marketplace. With data growing exponentially, a fabric is crucial to a proper data management system. This includes multiple on-premises and cloud locations, as well as combing through structured and unstructured data to outline proper formatting. This includes different data types and platform landscapes that will have companies of all sizes discover new solutions to better their business value through a high-functioning data center.
Data fabric architecture deals with problems that companies may be dealing with in data management. Data silos are a prime concern, as many businesses don’t realize the different ways in which they can manage their data through one organization. A data fabric solution provides a greater solution to having company-wide access to endpoints in data. Lack of comprehensive data access and use results in a poor return on investment on the infrastructure and lower productivity without data discovery. Data fabric comes to the rescue.
The Benefits of Data Fabric Architecture
Data fabric is ideal for organizations with multiple data sources that are widespread throughout the U.S., or even globally. While data fabric architecture is not a quick answer to integration and processing, it is a great long-term strategy for predictive maintenance and advanced analytics. With continued advancements in hardware capabilities, single points in a data fabric system are able to connect faster than ever before. This is helping to bring an end to setbacks and hurdles within internal mechanisms for platforms.
With an agile model that allows for changes to systems, data fabric works across all operating and storage systems. Data fabric architecture provides maximum integrity and compliance to regulation while maintaining accessibility and real-time flow of information. The massive amounts of data that businesses can access need to be exploited to derive unique insights. This real-time derivation and application to access multiple data levels can make your organization a cut above the rest.