Under the Hood: Introduction to Vertica In-database Machine Learning

Presented by

Waqas Dhillon and Josh Poduska, Vertica

About this talk

Vertica’s in-database machine learning supports the entire predictive analytics process with massively parallel processing and a familiar SQL interface. Vertica has the only native, in-database, distributed machine learning library on the market today; complete with easy-to-use features for blazing fast ingestion, complex data preparation, the fastest distributed model building available, thorough model evaluation, detailed model management, simple model deployment, and advanced integration with popular machine learning and visualization tools. During this demo you’ll get a firsthand look at Vertica machine learning using a public IoT dataset from the Irish Smart Meter project. The demonstration will cover data exploration and visualization, data preparation, model building, model scoring, model evaluation, and model management. Learn how data scientists and analysts can leverage Vertica to embrace the power of Big Data and accelerate business outcomes with no limits and no compromises.

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The Vertica 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. Vertica delivers speed, scale and reliability on mission-critical analytics at a lower total cost of ownership than legacy systems. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve. Deploy Vertica on-premise, in the clouds (AWS, Azure and GCP), on Apache Hadoop, or as a hybrid model. Find more information on Vertica at www.vertica.com.