Geospatial Analytics at Scale with Vertica

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Presented by

Badr Ouali, Vertica Lead Data Scientist, Vertica

About this talk

Millions of mobile users across our planet generate increasing data volumes every day. Analyzing geospatial data of that size and scale to understand human behavior can no longer be addressed with in-memory tools. Join us for this webcast to learn how Vertica enables you to store, manage, and analyze increasing volumes of geospatial data without moving the data. Hear Badr Ouali, Vertica Lead Data Scientist, introduce the Vertica Geospatial Library and showcase how you can tap its advanced analytical functions to address your most complex geospatial analytical use cases – everything from improving risk analysis to enhancing transportation and logistics planning. During this webcast, Badr will also show you the potential of Vertica for Geospatial analytics by solving two interesting problems – finding the most interesting art work and identifying two areas where people like to play golf.

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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, 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.