Python is a powerful programming language that is a good choice for many types of analytics. It is rapidly becoming the language of choice for scientists and researchers of many types. Now by combining a massively parallel (MPP) database like Vertica with Python, you can overcome many scale and analytics challenges that can limit Python users. Join this session to see a live demo of Vertica’s built-in integration with Python to measure and predict key numbers of the COVID-19 pandemic…
The complexities of cloud-based data at scale led Domo to use Vertica both to help power their flagship product and to glean metadata to tune and optimize their ecosystem. Their internal system, called “Domo4Domo,” uses a rules-based AI engine, with elements of machine learning, to identify and eliminate conditions that cause poor performance. By achieving close to 100% uptime with this system, the team can confidently deliver on query performance SLAs, as well as adjust capacity, when needed, without increasing…
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If you load data into Vertica in real-time using Kafka, then this session is for you. Learn best practices for configuring the Vertica Kafka scheduler to load various kinds of data streams into Vertica, as well as how to properly size data frames to achieve efficient and fast loading of streaming data. You will also learn how to stream data from Vertica into Kafka and receive tips and tricks for how to monitor and manage data stream loading.
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In our next Under the Hood Webcast, hear Chris “CB” Bohn, database engineer expert who recently joined Micro Focus to build out its corporate data warehouse on Vertica. Learn how has CB migrated legacy queries from Microsoft SQL Server to Vertica, specifically one report that took seven days to complete. CB rewrote 2,500 lines of T-SQL code using Vertica’s analytical window partitioning, shrinking the code down to 150 lines as a one-pass query. The report now runs in 30 seconds!…
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