What’s New in Vertica 10

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Presented by

Mark Lyons, Vertica Product Management and Jeff Healey, Vertica Product Marketing

About this talk

Announced at the Vertica Big Data Conference 2020, Vertica 10 includes many features for deriving greater insight by unifying data siloes across cloud and hybrid environments. Join us for this Webcast to learn how Vertica 10 now supports PMML format to import models built in other platforms and languages like Spark, Python, and SPSS and export models built in Vertica for scoring in other systems as well as integration with TensorFlow for deep learning at scale. You’ll also learn about Vertica in Eon Mode’s expanded public cloud support for Google Cloud Platform and Apache Hadoop as communal storage, providing you with even more deployment options to dynamically manage your variable workloads. The Webcast will also highlight the next-generation Database Designer, complex data types, and much more, so register today.

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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.