What is a Virtual Data Pipeline?

A virtual data pipeline is a set of processes that collect raw data from various sources, converts it into a usable format to be used by applications and then stores it in a destination system such as a data lake or database. data lake. This workflow is able to be set according to a predetermined schedule or as needed. It is often complex and has many steps and dependencies. It should be easy to track the relationships between each step to ensure that everything is running smoothly.

Once the data has been consumed, some initial cleaning and validating takes place. It https://dataroomsystems.info/simplicity-with-virtual-data-rooms may be transformed by using processes like normalization and enrichment aggregation filtering as well as masking. This is a crucial step, as it ensures that only the most reliable and accurate data is utilized for analytics and application usage.

The data is then consolidated and pushed into the final storage location where it is accessible for analysis. It could be a structured one such as a warehouse, or a less structured data lake, according to the needs of an organization.

It is common to utilize hybrid architectures where data is moved from on-premises to cloud storage. IBM Virtual Data Pipeline is an excellent option to accomplish this, as it offers a multi-cloud copy solution that allows development and testing environments to be separated. VDP uses snapshots and changed-block tracking to capture application-consistent copies of data and provides them for developers through a self-service interface.