Impetus Technologies to Host Webinar on Anomaly Detection in Streaming Data
"Our customers use Spark-based applications to detect and act on anomalies in streaming data faster and with greater accuracy than ever before," said Anand Venugopal, head of StreamAnalytix at Impetus. "When you have the ability to see and act on any deviation as it happens, you realize the potential of streaming data to change how business is done. Anomalies provide us with the cues we need to help prevent fraud, present just the right offer at just the right time, predict mechanical failures, provide predictive healthcare and make decisions in real-time with confidence."
Impetus' StreamAnalytix is an open-source enabled, enterprise-grade, multi-engine stream processing and machine learning platform. It's also the only platform of its kind that includes a free, integrated development environment (IDE) - - that makes it easy for developers to build, deploy and manage Apache Spark applications easily in a matter of minutes. Apache Spark has emerged as the de facto choice for stream processing, real-time analytics, data science and machine learning applications.Presented by Ravishankar Rao Vallabhajosyula, senior data scientist at Impetus Technologies, and Saurabh Dutta, technical product manager of StreamAnalytix at Impetus, the webinar will be of interest to developers, data scientists, information technology professionals and business users that work with real-time streaming applications and data. Some of the topics Rao and Dutta will cover include:
About Impetus Technologies
Impetus Technologies is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities and technology expertise. It offers full life-cycle services for big data technology implementations, including technology strategy, solution architecture, proof of concept, production implementation and on-going support to its clients. To learn more, visit:or write to:, and follow us on Twitter:and LinkedIn:.
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