The term “data pipeline” refers to a series of processes that gather raw data and convert it into an format that can be used by software applications. Pipelines can be batch-based or real-time. They can be used on-premises or in the cloud and their tooling can be open source or commercial.
Data pipelines are like physical pipelines that carry water from the river to your home. They move data from one layer into another (data lakes or warehouses) like physical pipes transport water from the river to a residence. This allows for analytics and insights to be derived from the data. In the past, data transfer was manual processes visit their website https://dataroomsystems.info/data-rooms-for-better-practice/ such as daily file uploads or long waiting times for insights. Data pipelines can replace these manual processes and allow organizations to transfer data more efficiently and with less risk.
Accelerate development by using a virtual data pipeline
A virtual data pipeline can provide massive savings in infrastructure in terms of storage costs in the datacenter as well as remote offices and also the hardware, network and management costs associated with the deployment of non-production environments like test environments. It can also reduce time due to automated data refresh, masking, role based access control, and database customization and integration.
IBM InfoSphere Virtual Data Pipeline is a multicloud copy management solution which 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 mount masked and near-instant virtual copies of databases in non-production environments, and begin testing in minutes. This is especially useful to speed up DevOps and agile methods as well as speeding up time to market.