What are common use cases for Data as a Service Platform

What are common use cases for Data as a Service Platform

Data as a Service (DaaS) has many use cases:

Enabling real-time business intelligence (BI)
Real-time business intelligence (RTBI) is the process of delivering business intelligence (BI) or information about business operations as they occur. It dramatically improves speed for ad-hoc and reporting queries directly against data storage—without dependence on IT or data engineering. It eliminates the need for moving data into data warehouses as it allows a harness of enterprise-grade query speed, governance, and security directly on data storage.

Drive Data Science Efficiency
It streamlines data engineering tasks, so they spend more time mining data for insight and value by seamlessly integrating with key platforms in the data science ecosystem and dive into data exploration and feature engineering without being delayed by the need to obtain, organize and prepare data.

Federating views across multiple data sources
Allowing real-time access to multiple source systems’ data by hiding the technical details and physical location of data and combining them into one single federated query view so that Data Virtualization tools don't need to know the details of data source structures and locations.



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