Data fabric is a type of distributed computing system that is designed to offer shared access to data with scalability, high performance, and cost-effectiveness. It typically focuses on storing and managing huge amounts of data, such as that used in large-scale computing analytics.
Data fabric systems are based on a concept called ‘data virtualization’, where physical resources are managed and provisioned by a user and allocated on demand. Data virtualization is used to make the process of managing and provisioning the physical resources easier and more cost effective. With this, the user is able to access information from multiple data sources using a single unified access point.
Data fabric systems work in a distributed manner across servers in multiple data centers. A variety of techniques can be used for this purpose. These could include distributed replication, virtualization, or shared resource access.
Data fabric systems have a number of benefits for users. For example, they can increase the speed, scale, and flexibility of data access. As well as this, they help to reduce the cost of data storage and management. In addition, they can also enable businesses to access data from multiple sources in a more efficient manner than traditional approaches.
Data fabric systems are popular for use in many industries such as financial services, retail, healthcare, and manufacturing. They are particularly useful for organizations that need to analyze large amounts of data quickly and cost effectively.
