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Compete on Data Analytics using Spring Cloud Data Flow

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Analytics on Real-Time Data: The end users of the business wanted to make decisions based on real-time data rather than near-real time/ old data.
Not Business Developers Friendly: Business developers heavily depended on the ETL developers for every customisation in the data pipeline – maybe it was complicated or less complicated.
This tailor made data pipeline creator is not something supported out-of-the box by any of the data integration tools in the market.
This tailor made data pipeline creator is not something supported out-of-the box by any of the data integration tools in the market.
This service abstracts out the Spring Cloud Data Flow services for the given needs as shown below Spring Cloud Data Flow ServerThe server responsible for creating a data pipeline (for the given configuration) per data source configuration and deploying in the Skipper Server as data streamsIt is configured with Kafka streams to support real time data processing.

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