The term “data pipeline” refers to a series of processes that collect raw data and convert it into an appropriate format to be utilized by software programs. Pipelines can be batch-based or real-time. They can be implemented on premises or in the cloud and their tools are open source or commercial.
Similar to a physical pipeline that brings water from a river to your house Data pipelines transport data from one layer (transactional or event sources) to another (data lakes and warehouses). This facilitates analysis and insights from the data. In the past, data transfer required manual procedures, such as daily file uploads or long wait times to get insights. Data pipelines are a replacement for manual processes and enable companies to transfer data more efficiently and without risk.
Accelerate development using an online data pipeline
A virtual data pipeline offers massive savings in infrastructure in terms of storage costs in the datacenter and remote offices, as well as the hardware, network and management costs associated with deploying non production environments like test environments. It can also reduce time through automation of data refresh masking, role-based access control, and database customization and integration.
IBM InfoSphere Virtual Data Pipeline is a multicloud copy-management solution that separates testing 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 instantly provision masked, near instant virtual copies of databases from VDP to VMs and mount them in non-production environments to begin testing within minutes. This is particularly useful to accelerate DevOps agile methods, agile methodologies and increasing time to market.
visit their website https://dataroomsystems.info/data-rooms-for-better-practice/