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A Deep Dive of Data Lakes with Vertica for SQL on Hadoop

If you use Vertica, you already know that it’s a high-performance MPP analytical database. But, did you know that Vertica is also a highly performant query engine?

Join us for this Webcast to learn how Vertica for SQL on Hadoop offers the fastest and most enterprise-ready way to perform SQL queries on your Hadoop data. We’ve leveraged our years of experience in Big Data analytics and opened up our platform to use the full power of the Hadoop cluster.

In this webcast, you’ll learn to take advantage of our open source contributions to the Apache community, ORC and Parquet file readers/writers, and various connectors and features to accelerate the exploration of your growing data lakes.
Recorded Feb 21 2019 55 mins
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Presented by
James Clampffer and Anatoli Shein, Vertica
Presentation preview: A Deep Dive of Data Lakes with Vertica for SQL on Hadoop

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  • The Vertica Management Console: Four Use Cases for Optimal Resource Management May 23 2019 3:00 pm UTC 60 mins
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    Did you know that you can provision, manage, and monitor multiple Vertica clusters, all from a single, unified console? DBAs rely on the Vertica Management Console to optimally manage Vertica resources, ensuring data engineers and data analysts experience the performance they require as they derive insight from growing data volumes.

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    • The role data plays in delivering data-driven advertising insights to Simpli.fi’s customers
    • The platforms and tools contributing to Simpli.fi’s data stack and data warehouse implementation
    • How Kafka, Spark, Vertica and Looker are integrated to manage the flow of data from initial data streaming, to transformation, analysis and dashboard visualization
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  • 4 Steps to Drive Customer Lifetime Value & Gain Real-Time Behavior Intelligence Recorded: Apr 16 2019 58 mins
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    Learn all about the range of available Vertica UDXs, common use cases, and even how to write user-defined scalar and parser functions.
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    In today’s data-driven world, creating a competitive advantage depends on your ability to transform massive volumes of data into meaningful insights. Companies that use advanced analytics and machine learning are twice as likely to be top quartile financial performers, and three times more likely to execute effective decisions.

    Built into Vertica’s core — with no need to download and install separate packages — in-database machine learning transforms the way data scientists and analysts across industries interact with data; removing barriers and accelerating time to value on predictive analytics projects.

    This webinar takes you through the journey around the usual data science process, pitfalls attached, how Vertica addresses the same, what is included, short examples and most importantly some successful real-life use-cases with customers from different domains. If time permits, we will also try include a quick demonstration.

    KEY TAKEAWAYS
    • Understanding the data science process and aligning with Vertica features
    • Step-up from descriptive to predictive analytics
    • Data science, do it now, do it fast with existing SQL skill-sets
    • How a DBA transforms into an enthusiast data-scientist
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    WHY ATTEND?
    Join us to hear how easy data-science is using Vertica & SQL and how to deliver predictive analytics effectively & quickly.
  • Philips Aims for Zero Unplanned Equipment Downtime with Predictive Analytics Recorded: Apr 3 2019 59 mins
    Dr. Ir. Mauro Barbieri, Senior Scientist, Philips Research and Carlo Arioli, EMEA Marketing Manager, Vertica
    Medical imaging systems such as MRI and CT scanners must provide optimal clinical performance and predictable cost of ownership. While clinicians understand the need for maintenance, any system downtime can be costly for health service providers. To overcome this challenge, Philips Healthcare is moving from reactive to data-driven, proactive maintenance, utilizing new sources of sensor data along with machine learning models to enable scheduled, predictable and non-intrusive service actions that don’t interrupt regular clinical workflow.

    Join our latest Data Disruptors webcast to hear Mauro Barbieri, Senior Scientist with Philips Research, discuss how Philips is moving towards zero unplanned downtime of medical imaging systems using remote monitoring and predictive analytics, powered by Vertica. Philips collects and processes data from devices to identify potential problems, reduce the likelihood of costly downtime and minimize impact on patients. The webcast will cover:

    • Philips' Aiming for Zero program and evolution from reactive to proactive service
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  • A Deep Dive of Data Lakes with Vertica for SQL on Hadoop Recorded: Feb 21 2019 55 mins
    James Clampffer and Anatoli Shein, Vertica
    If you use Vertica, you already know that it’s a high-performance MPP analytical database. But, did you know that Vertica is also a highly performant query engine?

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Data Analytics without Limits
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 AT&T, 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.

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