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Fetch data from myriad sources to establish patterns and predict future outcomes
Consolidate structured and unstructured data from multiple sources to get a single and unified view with real-time insights
Create bigger data sets by integrating and blending data sources for self-service data ingestion
Seamlessly convert raw data from a specific format into another format or structure that is cleansed, validated, and ready-to-use
Prepare, extract, and transform your data before transferring it from a computer storage system to another
Optimize your current ETL process’ to increase efficiency, reduce data points, and decrease resource usage close to real-time
Build DWH by fetching from multiple heterogeneous sources and store at one place either on-premises or on-cloud for analytical reporting/or ad hoc queries, and decision making
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