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Best Practices for Optimizing Vertica Performance Johnny Him - Micro Focus Karthick Shanmugam Selvaraj This session offers the key techniques and methods for optimizing your Vertica performance. These techniques help you to monitor, troubleshoot, and improve the performance of the database. We will then provide few use cases on how to manage workload and allocate resources properly. We also cover few unique features of Vertica EON for the performance improvement. Vertica Unified Analytics Platform Powering the World’s Leading Data Disruptors 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. https://www.vertica.com/overview/