The term “data pipeline” refers to a set of processes that collect raw data and convert it into a format that can be utilized by software applications. Pipelines can be batch or real-time. They can be deployed on-premises or in the cloud. their tools are open source or commercial.
Data pipelines are similar to physical pipelines that bring water from a river into your home. They move data from one layer to another (data lakes or warehouses) like physical pipes transport water from the river to a house. This allows data analytics and insight from the data. In the past, data transfer was manual procedures like daily uploads of files or long waiting times to get insights. Data pipelines can replace manual processes and allow organizations to transfer data more efficiently and without risk.
Accelerate development using an online data pipeline
A virtual data pipe can save lots of money on infrastructure costs including storage in the datacenter or in remote offices. It also reduces hardware, network and administration costs for non-production environments like test environments. It also helps to reduce time due to automated data refresh masking, role-based access control and customization of databases and integration.
IBM InfoSphere Virtual Data Pipeline (VDP) is a multi-cloud copy-management solution that separates development and test 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 dataroomsystems.info/should-i-trust-a-secure-online-data-room/ provide masked, fast virtual copies of databases from VDP to VMs and mount them in non-production environments so that they can begin testing in just minutes. This is particularly beneficial for speeding up DevOps and agile methods as in accelerating time to market.
