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Real-time Analytics and IoT

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The world is projected to have 50 billion connected devices by 2020. Connected devices could be the main sources of data over the Internet, which, in turn, can be woven into various applications to detect events, improve safety or drive business outcomes. In order for organizations to capitalize on the large source of streaming data and the Internet of Things (IoT), enterprise architects need to design an infrastructure that can perform continuous and timely processing of data in motion.

Cask’s Solution for an Event-Condition-Action (ECA) Framework for IoT is offered in the form of a real-time rules engine built to enable enterprises to immediately act on huge volumes of data. Events are handled by a rules engine, which can automate actions in many different business scenarios. The visual code-free interface allows a business user to deploy rules that define both primitive and composite events, while satisfying critical enterprise requirements around security, encryption, and data lineage.

Scalable and Reliable

CDAP provides the scalable and reliable runtime environment as well as the tools needed for easy deployment and management of your Hadoop solution.

Secure

CDAP integrates with Apache Sentry to provide enterprise-grade security and data governance, ensuring that sensitive user and sensor data is kept secure.

Reliability for Real-time and Batch

CDAP provides a single platform for both real-time and batch analytics. It makes it easy to combine with the latest technology, such as Spark Streaming, for streaming with a drag-and-drop interface. This simplifies the loading of data from various data sources as well as the transformation needed to develop real-time analytics and IoT solutions.

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