What is a Virtual Data Pipeline?

A virtual data pipe is a set of processes that extract raw data from different sources, convert it into an format that can be utilized by software, and store it in a location like databases. This workflow is able to be set according to a schedule or on demand. It is often complicated and has many steps and dependencies. It should be simple to keep track of the relationships between each step to ensure that everything is running smoothly.

After the data has been ingested it is subjected to a preliminary cleansing and validation. The data may be transformed through processes like normalization, enrichment, aggregation or masking. This is an important step because it guarantees only the most accurate and reliable data will be used in analytics.

The data is then consolidated and transferred to its final storage place which can then be accessible for analysis. This could be a structured data source such as a warehouse or less structured data lake, depending on the needs of the company.

It is usually recommended to implement hybrid architectures in which data is moved from on-premises storage to cloud storage. To achieve this, IBM Virtual Data Pipeline (VDP) is a fantastic option as it offers an efficient multi-cloud copy control solution that enables applications development and test environments to be isolated from the production infrastructure. VDP uses snapshots and changed-block tracking to dataroomsystems.info/data-security-checklist-during-ma-due-diligence/ capture application-consistent copies of data and provides them for developers through a self-service interface.

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