A virtual data pipe is an array of processes that transform raw data from source systems into an format that can be used by applications. Pipelines are useful for many reasons, including analytics, reporting and machine learning. They can be configured to run data on a timetable or at any time. They can also be used for real-time processing.
Data pipelines are often complicated, requiring many steps and dependencies. For instance the data generated by one application can be fed into multiple other pipelines, which in turn feed into additional applications. It is essential to keep track of the processes and their interactions to ensure that the pipeline operates properly.
Data pipelines are employed in three main ways: to speed development, enhance business intelligence, and decrease risk. In each of these cases it is the intention to gather a lot of data and transform it into a click this link now format that can be utilized.
A typical data pipeline will contain a series of transformations, like reduction, aggregation, and filtering. Each stage of transformation may require the use of a different data store. When all the transformations are completed, the data is pushed into the destination database.
Virtualization is a method of reducing the time needed to collect and transfer data. This allows the use of snapshots and changed-block tracking to capture application-consistent copies of data in a much faster way than traditional methods.
IBM Cloud Pak for Data powered by Actifio allows you to deploy a data pipe quickly and easily. This will allow DevOps and speed up cloud data analysis and AI/ML efforts. The patented virtual data pipe solution by IBM provides an efficient multi-cloud copy control platform that separates development and test infrastructure from production environments. IT administrators can quickly allow testing and development by supplying masked copies on-premises databases through a self-service GUI.