We are all aware that banks today are dealing with multiple data sources. Each of these data sources or end points have to be brought into a central warehouse to run analytics on. All this data movement requires integration capabilities and further the need to manage for security , the information about the data or metadata.
Data fabric is a middle layer that sits on top these end points and the connections architecture . You can think of this as a logical or virtual layer. You then build services to connect to the data fabric. It has the contextual capability which describes the lineage of the data and the business logic.
This infrastructure allows the consumer of this data a convenient data set for analysis regardless if the user is from a bank or the customer. This data set is always current and fast because we are not copying the stored data and its rich because it comes from any number of data sources.
The benefit is for the bank that you don't have to make copies of the data , the fabric abstracts the data into a dataset for analysis and for the end customer they can interact with their own data . Due to zero replication, it is easier to administer and manage the data thus providing them control over the data they shared with the bank.
The overall benefit for the bank is this type of infrastructure allows them to think of new ways to create products and provide insights to their customers.
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