In a large global health services company, streaming data for processing and sharing comes with its own challenges. Data science and analytics platforms need data fast, from relevant sources, to act on this data quickly and share the insights with consumers with the same speed and urgency.
Join Mohammad Quraishi to learn why streaming data architectures are a necessity—Kafka and Hadoop are key. Mohammad outlines architectures centered around the Hadoop Platform and Kafka that were implemented to support a variety of integration and analytics requirements.
Mohammad Quraishi is a senior principal technologist within the Data and Analytics Organization at Cigna, where he’s the lead engineer in the Big Data Guild; his primary focus is on Hadoop and streaming architectures. Mohammad has worked in the healthcare industry for 23 years. He holds a BS in computer science and engineering from the University of Connecticut at Storrs.
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