Business today, more than ever before, demands real time and near livestreamreal time data to power dashboards to seamlessly deliver data and provide actionable analytics. Batch reporting and historical analysis is not enough to make well-informed decisions anymore. The purpose of streaming analytic technology is to deliver live intelligence and real time insights by comparing multiple streams from applications, infrastructure devices and sensors faster than ever before.

spark-streaming-logoAt airisDATA, we are experienced in streaming analytics from ingest to delivery. We process streams of data and update datastores in real-time utilizing using parallel processing of live streaming data. Our architecture and models provide solutions that can continuously
extract insights from data in motion and deliver visualizations and insights. Our clients benefit from our significant experience with real-time dashboards, charts and business intelligence on top of in-memory data stores and caches enabling them to make quick and accurate decisions.




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