Building an IOT Predictive Maintenance Solution for Scale with Vertica

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Presented by

Jeff Healey, Tim Donar and Jawahar Annaldasula, Vertica

About this talk

In the next webinar of our "Under the Hood" series, see why more intelligent device manufacturers are turning to the Vertica Advanced Analytics Platform to manage and analyze large volumes of sensor and time-series data from the Internet of Things for predictive maintenance solutions. Join us as we preview a predictive maintenance demonstration that shows how Vertica core technology and in-database Machine Learning enables equipment manufacturers to accurately pinpoint maintenance issues before they occur, unlocking new value in the form of service cost reductions, reduced downtime, and more.

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Intuit, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.