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The term “data pipe” refers to a set of procedures that collect information and transform it into a user-friendly format. Pipelines can be real-time or batch-based. They can be used on-premises or in the cloud, and their tooling can be open source or commercial.
Similar to a physical pipeline that brings water from a river to your house data pipelines transfer data from one layer (transactional or event sources) to another (data lakes and warehouses). This helps enable analytics and insights from the data. In the past, transferring this data was done manually like daily uploads of files and long wait times for insights. Data pipelines replace manual procedures and allow organizations to transfer data more efficiently and without risk.
A virtual data pipeline offers massive savings in infrastructure in terms of storage costs in the datacenter as well as remote offices, as well as hardware, network and administration costs associated with deploying non production environments, such as test environments. It can also save time through automated data refresh, masking, role based access control and customization of databases and integration.
IBM InfoSphere Virtual Data Pipeline is a multicloud copy management solution which decouples development and test environments from production infrastructures. It uses patented snapshot and changed-block tracking technology to capture application-consistent copies of databases and other files. Users can mount masked, fast virtual copies of databases in non-production environments and begin testing in just minutes. This is particularly beneficial to speed up DevOps and agile methods as and speeding up time to market.