The Power of Vertica for Time Series and IoT Log Analysis

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Presented by

Paige Roberts, Marco Gessner, and Matteo Monaldi, Vertica

About this talk

From the beginning, Vertica has been a powerful time series analysis engine, with pattern matching, sessionization, joins with interpolation, and many of the tools needed to get value from mountains of log data. A lot of smart organizations have used Vertica for clickstream analysis, vehicle telemetry analysis, AIOps, predictive maintenance, anomaly detection for fraud prevention, and other time series analysis use cases. Over the last few releases, Vertica has added new capabilities like ARIMA analysis. Come learn about some of Vertica’s powerful capabilities, old and new, and see how you can analyze time series data quickly and easily.

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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.