What is a Virtual Data Pipeline?

A virtual data pipeline is a set of processes which extract raw data from a variety of sources, transforms 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. The workflow can be programmed to run according to an interval or on demand. As such, it is usually complex, with many steps and dependencies – ideally it should be simple to monitor each step and its relationships to ensure that all processes are running smoothly.

After the data is taken in, a few initial cleaning and validating is performed. It could be transformed by processes such as normalization and enrichment aggregation filtering as well as masking. This is a crucial step since it ensures only the most accurate and reliable data is used for analysis.

Then, the data gets consolidated and https://dataroomsystems.info/data-security-checklist-during-ma-due-diligence moved to its final storage area where it can be easily accessed for analysis. It may be a database with a structure, such as a data warehouse, or a data lake which is less structured.

It is usually recommended to adopt hybrid architectures, where data is transferred from on-premises to cloud storage. IBM Virtual Data Pipeline is the ideal solution for this, since it offers a multi-cloud copy solution that allows development and testing environments to be decoupled. VDP uses snapshots and changed-block tracking to capture application-consistent copies of data and provides them for developers through a self-service interface.