It’s Time for Time Series – Built-in Analytics in Vertica

Presented by

Maurizio Felici and Jeff Healey, Vertica

About this talk

Time series databases have become one of the fastest growing speciality database platforms in our industry. Why? Well, time series data consists of sequences of measures over time and those measurements are becoming ubiquitous, particularly with the Internet of Things. Just think about daily daily stock prices, sensors measuring temperature or air quality, electrocardiograms -- all of them are time series examples. Analyzing time series requires unique preparation steps and specific functions. Join us for this webcast and you will learn how to use advanced Vertica Time Series Analytics to quickly analyze large volumes of data – all without investing in yet another database. You will also see how easily to extend Vertica’s Time Series built-in functionality to forecast and correlate time series.

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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.