A virtual data pipe is a set of processes that collect raw data from different sources, transform it into an format that can https://dataroomsystems.info/simplicity-with-virtual-data-rooms be utilized by software, and store it in a place like a database. This workflow is able to be set according to a predetermined schedule or on demand. It is often complex with a number of steps and dependencies. It should be easy to monitor the connections between each step to ensure that it’s working properly.
Once the data is ingested, it undergoes a first cleansing and validation. The data could be transformed at this stage by processes such as normalization, enrichment, aggregation, filtering or masking. This is a crucial step since it ensures only the most precise and reliable data is used for analysis.
The data is then consolidated before being moved to its final storage place in order to be accessed for analysis. This could be a structured one such as a warehouse or a less structured data lake according to the needs of the company.
It is common to adopt hybrid architectures, where data is moved from on-premises to cloud storage. To achieve this, IBM Virtual Data Pipeline (VDP) is a good choice as it provides an efficient multi-cloud copy control solution that enables application development and test environments to be isolated from the production infrastructure. VDP uses snapshots and changed-block tracking to capture application-consistent copies of data and provides them for developers through a self-service interface.