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Thursday, April 16 • 3:00pm - 3:50pm
Near Real-Time Stream Processing Architectures with Open-Source Tools - Anand Iyer, Cloudera

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We are continuously producing vast streams of data, and thanks to phenomena such as the Internet of Things, the volume of streaming data is poised to see exponential growth over the coming years. Businesses want to process this data almost as soon as it is produced, drastically reducing time to action, and enabling a whole new category of use cases. This paradigm is called “Near Real-Time Stream Processing”. In this presentation, Anand Iyer will describe real-world use cases, across diverse industries. He will describe the open source tools (Kafka, Spark Streaming, Storm, Samza, etc) that are used to build near real-time stream processing architectures, and will also describe some of the common architectural patterns. Lastly he will describe future trends, such as machine learning and sql on streaming data.

Speakers
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Anand R Iyer

Anand R Iyer is a Senior Product Manager at Cloudera, the leading vendor of open source Apache Hadoop. His primary areas of focus are platforms for Real-Time Streaming, Apache Spark and tools for data ingestion into the Hadoop platform. Before joining Cloudera, he worked as an engineer at LinkedIn, where he applied machine learning techniques to improve the relevance and personalization of LinkedIn’s Feed. He has extensive experience in... Read More →


Thursday April 16, 2015 3:00pm - 3:50pm
Texas VI

Attendees (23)