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The term “data pipe” refers to a series of procedures that collect information and convert it into a user-friendly format. Pipelines can be real-time or batch. They can be used on-premises or in the cloud. their tools can be open source or commercial.
Similar to a physical pipeline that brings water from a river to your home Data pipelines carry data from one layer (transactional or event sources) to another (data lakes and warehouses). This facilitates analytics and insights derived from the data. In the past, data transfer required manual procedures, such as daily uploads of files, or long waiting times for insights. Data pipelines can replace manual processes and enable companies to transfer data more efficiently and without risk.
Accelerate development with a virtual data pipeline
A virtual data pipe can save a significant amount of cost on infrastructure including storage in the datacenter or in remote offices. It can also cut down on hardware, network and administration costs for non-production environments like testing environments. Automating data refresh, masking and access control based on role and the ability to customize and integrate databases, can save time.
IBM InfoSphere Virtual Data Pipeline (VDP) is a multi-cloud copy management system that decouples test and development 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 immediately provision masked, near instant virtual copies of databases from VDP to VMs and mount them in non-production environments so that they can begin testing within minutes. This is particularly beneficial to accelerate DevOps agile methodologies, as well as increasing time to market.
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