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.
What are common use cases for Data Lake Platform
Example use cases for Data Lake Platform Provides a managed service using Kubernetes for delivering a set of integrated solutions (Data Flow, Data Transformation, Data as a Service) that ingests data from multiple data sources into a Data Lake. ...
What are common use cases for Microservice+ Platform
Example use cases for Microservice+ Platform: Legacy applications refactoring Enterprises often decide to rebuild their IT capabilities to change the functionality, add some new features, move to the Cloud, or conduct global system modernization. ...
What are common use cases for Elastic Stack+ Platform
Example use cases for Elastic Stack+ Platform Logging and Log Analysis The ecosystem built up around Elasticsearch has made it one of the easiest to implement and scale logging solutions. From Beats to Logstash to Ingest Nodes, Elasticsearch gives ...
What are common use cases for Data Transformation Platform
Example use cases for Data Transformation Platform Data Streaming Streaming data is the continuous flow of data generated by various sources. The data streaming can be processed, stored, analyzed, and acted upon when generated in real-time. The data ...
What are common use cases for Data Flow Platform
Example use cases for Data Flow Platform Data Ingestion Stream Data Ingestion Ingest data in real-time as they arrive. Good for real-time data-driven decision processing for improving customer experience, minimizing fraud, and optimizing operations ...