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Tanay Pant is an author, developer and tech enthusiast. He currently works at Crate.io as a Developer Advocate. He is best known for his books “Learning Web-based Virtual Reality”, “Building a Virtual Assistant for Raspberry Pi” and “Learning Firefox OS Application Development”. He has been acknowledged in the about: credits of Firefox for his contributions to the different open source projects of the Mozilla Foundation. He also writes for a number of websites like SitePoint and Tuts+ where he shares tips and tricks about web development.
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The rise of IoT and smart infrastructure has led to the generation of massive amounts of complex data.
In this session, we will talk about time-series data, the challenges of working with time series data, ingestion of this data using data from NYC cabs and running real time queries to gather insights.
By the end of the session, we will have an understanding of what time-series data is, how to build streaming data pipelines for massive time series data using Flink, Kafka and CrateDB, and visualising all this data with the help of a dashboard.
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