Introducing the Vertica 10 Unified Analytics Warehouse

Presented by

Fouad Teban, Head of Field Engineering - Jeff Healey, Head of Product Marketing - Mark Lyons, Head of Product Management

About this talk

Derive greater and faster analytical insights by unifying data siloes across cloud and hybrid environments. As the industry’s highest performing Unified Analytics Warehouse, Vertica 10 offers a range of new advancements to empower you to unify, analyse, and act on all your data. This major release includes more deployment options for Vertica in Eon Mode, an elastic separation of compute and storage architecture for handling variable workloads in the clouds (with Google Cloud Platform support added) as well as on-premises (with MinIO and HDFS support added) or hybrid environments. This flexible implementation delivers greater operational simplicity and more control by scaling compute resources independently of shared S3 (Simple Storage Service). Join us for this webcast to learn how to: •Unify data siloes across cloud/hybrid environments and derive greater value from your HDFS (Hadoop Distributed File System) data lake •Operationalize Machine Learning by importing and exporting PMML (Predictive Model Markup Language) models, including putting TensorFlow models to work •Analyze complex data types (Maps, Structs, and Arrays) in Parquet on S3 or HDFS •Achieve a lower total cost of ownership (TCO) by provisioning just the right amount of compute and storage resources for both routine queries and data science projects •Seamlessly migrate from Vertica Enterprise to Vertica in Eon Mode with a new migration tool

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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.