The term “data pipeline” refers to a collection of processes that collect raw data and convert it into an appropriate format to be utilized by software applications. Pipelines can be real-time or batch-based. They can be implemented on premises or in the cloud, and their software can be open source or commercial.
Data pipelines are like physical pipelines that bring water from a stream into your home. They move data from one layer to another (data lakes or www.dataroomsystems.info warehouses) similar to how physical pipes bring water from the river to a residence. This allows for analytics and insights to be extracted from the data. In the past transfer of this data was done manually like daily uploads of files and long wait times for insights. Data pipelines replace manual processes and allow organizations to transfer data more efficiently and without risk.
Accelerate development by using a virtual pipeline of data
A virtual data pipeline can provide large infrastructure savings in terms of storage costs in the datacenter and remote offices as well as equipment, network and management costs involved in deploying non-production environments such as test environments. It also can save time by enabling automated 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 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 mount masked and near-instant virtual copies of databases in non-production environments, and begin testing in a matter of minutes. This is particularly useful for accelerating DevOps and agile methods as also speeding time to market.
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