Date of Publication :29th November 2017

Abstract: The IT world is moving towards innovation and technology. The growth of data is exponentially increasing in various domains like healthcare, Iot, Biometrics and many more. With periodic batch processing data, it is not possible to provide the required information to take instant decisions. Streaming data analytics is the bloodstream of modern applications. The traditional cloud-based storage model is giving way to do in-memory analytics processing of big data streams. There are many domains where real-time processing of data is used for taking timely decisions that can minimize the risks of human lives and resources, enhance the quality of human lives, increase efficiency of resources management and proficiency, etc. Therefore, Real time Data is required in every field. This brings the requirement of Real time Analytics Platform . Adaptation of Data First Approach is needed for DataDriven applications to address the many issues like removal of Data Silos to create Single Integrated Platform, Complex Data Governance, analytics too time consuming and expensive, High cost on current systems and enabling real time analytics. In this Paper, we will discuss Real Time analytics platform based on Reactive Machine learning ,Functional Programming and Kappa Architecture for Monitoring, Alerting, IoT Based applications or event Driven applications.

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