The term “data pipeline” is a reference to a sequence of processes that collect raw data and convert it into a format that can be used by software applications. Pipelines can be real-time or batch. They can be used in the cloud or on-premises and their visit their website https://dataroomsystems.info/data-rooms-for-better-practice/ tooling can be commercial or open source.

Data pipelines are similar to physical pipelines that bring water from the river to your home. They transfer data from one layer into another (data lakes or warehouses) just as physical pipes transport water from the river to a house. This helps enable analytics and insights derived from the data. In the past, data transfer was manual procedures, such as daily uploads of files or lengthy waiting times for insights. Data pipelines can replace these manual procedures and allow organizations to transfer data between layers more efficiently and with less risk.

Accelerate development using a virtual data pipeline

A virtual data pipeline offers huge savings on infrastructure in terms of storage costs in the datacenter as well as remote offices and also equipment, network and management costs associated with deploying non-production environments such as test environments. It can also reduce time due to automation for data refresh, masking, role based access control, database customization and integration.

IBM InfoSphere Virtual Data Pipeline is a multicloud copy-management solution that separates 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 particularly beneficial to speed up DevOps and agile methodologies as and speeding up time to market.

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