Under the Hood: What’s New in Vertica 9.2

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Presented by

Mark Lyons, Micro Focus

About this talk

Join us to learn all about the latest features now available in Vertica 9.2. If you have variable, business-critical analytical workloads, you’ll want to hear how Vertica in Eon Mode now includes database branching for creating instant Vertica clones for scaling throughput and backup and recovery functionality for 24x7 data protection. Your data engineers will be interested in Vertica 9.2’s new Machine Learning functionality to create workflows involving multiple machine learning algorithms with similar data types. And, with support for our new open source Python Vertica client, your developers and data scientists will learn how they can now run SQL queries, perform advanced analytics, and load data into Vertica, all from within the confines of their Python code.

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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.