A virtual data pipeline is a set or processes that take visit their website https://dataroomsystems.info/data-rooms-for-better-practice/ raw data from a variety of sources, converts it into a usable format to be used by applications and then stores it in a storage system such as a database or data lake. The workflow can be configured according to a predetermined schedule or as needed. As such, it is often complicated with a lot of steps and dependencies. Ideally, it should be easy to monitor each process and its associated processes to ensure that all operations are running smoothly.
After the data has been ingested, it undergoes a first cleansing and validation. The data could be transformed at this stage through processes like normalization enrichment, aggregation or filtering or masking. This is a crucial step as it ensures only the most accurate and reliable data will be used for analysis.
The data is then consolidated and transferred to its final storage place and can be accessed to analyze. It could be a data warehouse with an established structure, for example the data warehouse, or a data lake which is not as structured.
It is generally recommended to adopt hybrid architectures, where data is moved from storage on premises to cloud. To achieve this, IBM Virtual Data Pipeline (VDP) is a great choice as it provides an efficient multi-cloud copy management solution that permits testing and development environments to be separate from 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.