The term “data pipeline” refers to a collection of dataroomsystems.info/simplicity-with-virtual-data-rooms/ processes that gather raw data and transform it into a format that can be used by software applications. Pipelines can be real-time or batch-based. They can be deployed on-premises or in the cloud, and their tools are commercial or open source.
Data pipelines are like physical pipelines that carry water from a stream into your home. They transfer data from one layer to the other (data lakes or warehouses) similar to how physical pipes transport water from the river to your home. This helps enable analytics and insights derived from the data. In the past transfer of the data required manual processes such as daily file uploads and long wait time for insights. Data pipelines replace these human procedures and allow organizations to transfer data between layers more efficiently and with less risk.
Develop faster with a virtual pipeline of data
A virtual data pipe can save lots of money on infrastructure costs including storage in the datacenter or remote offices. It also reduces network, hardware and administration costs for non-production environments such as test environments. It can also save time as a result of 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 which decouples 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 mount masked and near-instant virtual copies of databases in non-production environments and start testing in a matter of minutes. This is particularly useful in accelerating DevOps agile methods, agile methodologies and increasing time to market.
