The term “data pipe” refers to a series of processes that collect raw data and transform it into an application-friendly format. Pipelines can be batch-based or real-time. They can be implemented on premises or in the cloud and their tooling can be open source or commercial.
Like a physical pipeline brings water from a river to your house Data pipelines carry data from one layer (transactional or event sources) to another (data lakes and warehouses). This helps enable analysis and insights from the data. In the past, data transfer was manual processes like daily uploads of files or long wait times to get insights. Data pipelines can replace these manual procedures and enable organizations to transfer data more efficiently and with less risk.
Develop faster with an online data pipeline
A virtual data pipeline offers significant savings on infrastructure costs in terms of storage costs in the datacenter and remote offices and also More Info about data rooms for better practice equipment, network and management costs associated with the deployment of non-production environments such as test environments. It can also reduce time as a result of automation of data refresh, masking, role based access control and customization of databases and integration.
IBM InfoSphere Virtual Data Pipeline is a multicloud copy-management solution that separates the 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 instantly create masked, near-instant virtual copies of databases from VDP to VMs and mount them in non-production environments, allowing testing within minutes. This is especially useful for accelerating DevOps agile methods, agile methodologies and speeding the time to market.