Building Vertica-Powered Applications with Python and Golang

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Presented by

Siting Ren and Jeff Healey, Vertica

About this talk

Vertica operates and integrates with a range of open source technologies to offer you more freedom to choose the broadest technologies for your data pipeline. Vertica has two active open source development projects on GitHub – the Vertica-Python and the Vertica-Sql-Go database clients. These projects serve as a reference implementation of the Vertica wire protocol and make it easier than ever to build Vertica-powered applications in python and golang. Using these projects partners have built Vertica integrations with new monitoring tools like DataDog and Grafana, and that is just the beginning. Join this Under the Hood Webcast to learn more about these clients, how you can use them and how you can help us on our journey towards making integration with Vertica easier from any environment.

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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.