Managing Variable Workloads with Vertica in Eon Mode

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Presented by

Yuanzhe Bei, Pratibha Rana and Jeff Healey, Vertica

About this talk

The separation of compute and storage architecture of Vertica in Eon Mode delivers a range of benefits to data-driven organizations seeking to manage their variable workloads – on AWS and now on-premises with Pure Storage. There are many core features that enable those benefits, particularly the Depot and subclusters. Join us for this Webcast to get a deep dive of how the Depot can help you improve query performance and derive maximum benefit by monitoring usage and more. You’ll also learn how subclusters can enable you to isolate your variable workloads – from reporting to ad-hoc to Machine Learning -- to accommodate all your departments and data consumers and simplify database operations.

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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.