

Data pipeline is a network system consisting of a set of tools and processes that are used to automate the movement of data and transfer it from the source location to the target repository. An enterprise can have thousands of intelligent data pipelines that move data from specialized source systems to specialized target systems and applications. Since they are many, it is important to simplify them as much as possible. Just as enterprises need to take care of data and analytics in their business, they will also need to take care of data pipelines.


Capabilities
Build an automated pipeline for continuous integration and delivery, from development through production. This can boost your confidence in software releases and decrease your organizational risk of regression or failures when new versions are deployed.
Build custom data pipelines that can ingest data from a variety of sources, process them using a message bus service, and store them in a variety of databases for later analysis.
Solve the data-silo problem by developing data pipelines that can populate in "Single Source of Truth" data lakes while maintaining quality and consistency which would also increase the ability to share data effectively and accelerate time to business insights.
Build automated, reusable, and independent data workflow pipelines to transfer and process batch and real-time data.

Data Governance
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Data management office DMO
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Maturity Assessment
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Data Privacy
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Data Monetization
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Data Strategy
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Data Architecture
Data architecture is a system that documents an enterprise's data assets by mapping out how data…
Data Exchange
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