Accelerate Development With a Virtual Data Pipeline

The term “data pipe” refers a series processes that collect raw data and convert it into a format that is user-friendly. Pipelines can be batch-based or real-time. They can be used in the cloud or on-premises and their tools are commercial or open source.

Data pipelines are like physical pipelines that carry water from the river to your home. They move data from one layer to the next (data lakes or warehouses) like physical pipes bring water from the river to your home. This allows for analytics and insights to be derived from the data. In the past, data transfers required manual processes such as daily uploads of files or lengthy wait times to get 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 pipeline of data

A virtual data pipe can help save a lot of cost on infrastructure for storage, like the datacenter or in remote offices. It can also cut down on hardware, network and administration data rooms costs for non-production environments like testing environments. Automating data refresh, masking, and access control based on role as well as the ability to customize and integrate databases, can help to reduce time.

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 immediately make masked, nearly instant virtual copies of databases from VDP to VMs and mount them in non-production environments to begin testing in just minutes. This is especially useful to speed up DevOps and agile methodologies as and speeding up time to market.

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