Kudu is redefining the big data ecosystem and opening doors to capabilities not available before. Comcast is moving in the direction of adopting Kudu with Impala and Spark for several projects, including real-time processing of events from Xfinity devices. Sridhar Alla and Kiran Muglurmath explain how real-time analytics on Comcast Xfinity set-top boxes (STBs) help drive several customer-facing and internal data-science-oriented applications and how Comcast uses Kudu to fill the gaps in batch and real-time storage and computation needs, allowing Comcast to process the high-speed data without the elaborate solutions needed till now.
Sridhar and Kiran showcase the platform Comcast is testing using Kudu: real-time STB events (tunes) are streamed from Kafka to Spark, which updates Kudu tables with high speed (~5,000 eps) while also sessionizing and maintaining state for tens of millions of devices in Kudu. While the Spark platform updates the transactions in real time directly on HDFS, the middle tier accesses Kudu tables (through Impala) to generate subsecond real-time dashboards while still having the power of Hadoop to deliver batch analytics and integrations with other platforms. This is key to the success of the platform as previously Comcast had to rely on variety of multitiered architectures to both provide fast storage and be able to update just like NoSQL engines—but without the slowness caused by several thousand updates per second. Sridhar and Kiran also explore how Comcast stores half-a-trillion events using Kudu and still gets great performance analyzing the data.
Sridhar Alla is cofounder and CTO at BlueWhale, which brings together the worlds of big data and artificial intelligence to provide comprehensive solutions to meet the business needs of organizations of all sizes. He and his team are cloud and tool agnostic and strive to embed themselves into the workstream to provide strategic and technical assistance, with solutions such as predictive modeling and analytics, capacity planning, forecasting, anomaly detection, advanced NLP, chatbot development, SAS to Python migration, and deep learning-based model building and operationalization. Sridhar is also the author of three books and an avid presenter at conferences including Strata, Hadoop World, Spark Summit and others.
Kiran Muglurmath is the executive director of big data analytics at Comcast, where he manages a team of data scientists and big data engineers for machine learning, data mining, and predictive analytics. Prior to Comcast, Kiran was a consulting big data platform architect and data scientist at T-Mobile and Boeing. He holds an MBA from the Kellogg School at Northwestern University and a computer science degree from Bangalore University.
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