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Vertica Big Data

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  • Cloud Database Performance Benchmark: Vertica in Eon Mode and Snowflake
    Cloud Database Performance Benchmark: Vertica in Eon Mode and Snowflake William McKnight, President, McKnight Consulting Group and Sanjay Baronia, Lead Product Marketing Manager, Vertica Recorded: Sep 13 2018 51 mins
    Two distinct trends are converging. The cloud is proving immensely useful in providing elastic, measurable, on-demand and self-service resources to organizations of all sizes. The uptake in 2018 has been phenomenal, continuing the biggest transformation that technology professionals will experience in their careers. Also, all organizations are relying even more than before on analytical databases to load, store, and analyze volumes of data at high speed to derive timely insights.

    An independent benchmark study was conducted to assess query performance, concurrency impact and cost-effectiveness of Vertica and Snowflake running in the AWS Cloud. The benchmark (expanding upon UC Berkeley’s Big Data Benchmark) simulated scenarios to answer fundamental business questions that every enterprise might encounter and ask.

    In this webinar, we will discuss the very interesting, need-to-know results and key takeaways of the benchmark. We will also discuss how to achieve high-performance and scalable analytics in the cloud and augment current, on-premises platforms in a cost-effective manner, continuing your journey to being data-driven.
  • Under the Hood: Advantages of using Python with a massively parallel database
    Under the Hood: Advantages of using Python with a massively parallel database Badr Ouali, Vertica Data Scientist and Steve Sarsfield, Director of Product Marketing, Micro Focus Recorded: Aug 28 2018 48 mins
    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 sometimes challenge Python users. Python users can achieve a simplified path to do as follows:
    • Analyze more data at greater speeds
    • Breeze through data preparation with the database’s SQL capabilities
    • Quickly make the most of advanced database analytics like time-series and geospatial
    • Benefit from in-database machine learning for predictive analytics
    • Leverage data as it sits in-place on the cloud or Hadoop without having to move it

    Join this webinar to understand how to expand and enhance your Python analytics with Vertica. Vertica’s built in integration with Python allows for more data and deeper analytics. As a very efficient database for massive amounts of data, Vertica’s optimizations and advanced analytics can help you achieve new heights as a Python programmer.
  • Nimble Storage Achieves 99.9999% Availability, 287% ROI with Vertica Analytics
    Nimble Storage Achieves 99.9999% Availability, 287% ROI with Vertica Analytics Medha Bhadkamkar, Senior Manager of Data Science and Services for InfoSight, Hewlett Packard Enterprise Recorded: Aug 16 2018 49 mins
    Join the latest webcast in our Data Disruptors Series to hear how Nimble Storage leverages flash storage and predictive analytics to deliver advanced customer insights and 99.9999% availability. The company’s InfoSight customer platform eliminates headaches and wasted time by transforming how storage is managed and supported, analyzing millions of sensors every second to prevent problems.

    On this webcast you’ll hear from Medha Bhadkamkar, Senior Manager of Data Science and Services for InfoSight, on how Nimble Storage leverages Vertica to:
    • Improve customer experience and business efficiency
    • Make storage autonomous through the use of advanced analytics
    • Predict and solve 86% of issues automatically
    • Achieve 287% ROI and annual benefit of $13.6 million
  • Building an IOT Predictive Maintenance Solution for Scale with Vertica
    Building an IOT Predictive Maintenance Solution for Scale with Vertica Jeff Healey, Tim Donar and Jawahar Annaldasula, Vertica Recorded: May 2 2018 58 mins
    In the next webinar of our "Under the Hood" series, see why more intelligent device manufacturers are turning to the Vertica Advanced Analytics Platform to manage and analyze large volumes of sensor and time-series data from the Internet of Things for predictive maintenance solutions. Join us as we preview a predictive maintenance demonstration that shows how Vertica core technology and in-database Machine Learning enables equipment manufacturers to accurately pinpoint maintenance issues before they occur, unlocking new value in the form of service cost reductions, reduced downtime, and more.
  • Under the Hood: Getting Started with Vertica Eon Mode Beta
    Under the Hood: Getting Started with Vertica Eon Mode Beta David Sprogis, Product Manager for Cloud and Eon, Micro Focus Recorded: Mar 21 2018 59 mins
    Vertica Eon Mode Beta, a separation of compute and storage architecture option, addresses the common need to rapidly scale your cluster to variable workloads. It also accommodates an almost endless data warehousing capability. Join us as we preview the benefits of this new architecture and walk through a step-by-step demonstration of its capabilities.
  • How TravelBird inspires the best travel plans with Vertica real-time analytics
    How TravelBird inspires the best travel plans with Vertica real-time analytics Rob Winters, Head of Data Science, TravelBird and Steve Sarsfield, Director of Product Marketing, Vertica Recorded: Mar 8 2018 45 mins
    TravelBird, a Dutch based online travel platform that offers daily holiday deals over Europe, will share their best practices to leverage real-time analytics and automation to deliver 100% personalized deals for customers, increase deal conversion and optimize offer content and pricing.

    TravelBird runs an integrated business intelligence and advanced predictive analytics architecture by leveraging Vertica along with tools such as Tableau, Spark and Python over a full cloud infrastructure.

    Join this session where Rob Winters will discuss:
    • How to leverage real-to opportunities for predictive analytics to improve online customer experience
    • The architecture principles to deliver “real-time” for advanced big data
    • TravelBird technology stack and the integration of Vertica, Spark, Tableau and Python
    • The deployment Vertica over Amazon AWS cloud infrastructure
    • Lesson learned and benefits of Vertica

    Rob has a unique record of accomplishment in BI, Analytics and Data Science for industries like travel, gaming and retail commerce with roles in major online companies such as Spil Games and De Bijenkorf.
  • Under the Hood: Introduction to Vertica In-database Machine Learning
    Under the Hood: Introduction to Vertica In-database Machine Learning Waqas Dhillon and Josh Poduska, Vertica Recorded: Feb 21 2018 54 mins
    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.
  • Analyze ORC and Parquet data in the right place for the right price with Vertica
    Analyze ORC and Parquet data in the right place for the right price with Vertica Mark Lyons and Steve Sarsfield, Vertica Recorded: Feb 15 2018 39 mins
    In a modern enterprise architecture, gaining access to data that’s stored in multiple locations is crucial to delivering analytics. It shouldn’t really matter if the data is stored in your database or some other location in ORC or Parquet formats. Performing analysis on it without having to first copy it can be a very powerful capability.

    Join Vertica experts Mark Lyons and Steve Sarsfield as they talk about how the external tables feature of Vertica can save you time and effort in many day-to-day analytics tasks. Whether you’re joining internal databases to external data tables for additional insight, training machine learning models, or simply tiering less critical data analysis off to a less expensive storage location, external tables can speed you through this task.

    In this webinar, you’ll also learn how external tables are a fantastic way to keep costs low yet maintain easy access to data of almost any age and any importance.
  • Scalable IoT, In-Database Computing
    Scalable IoT, In-Database Computing Sina Shahandeh, Director of Data and Analytics, Ecobee and Benjamin Smith, Senior Product Marketing Manager, Vertica Recorded: Feb 1 2018 60 mins
    Internet of Things (IoT) data is exploding, driven in part by the adoption of connected home technologies such as smart thermostats. While the adoption of connected home technology is increasing at a dramatic rate, creating value from the growing volume of sensor data generated by smart devices requires a new approach to advanced analytics at increasing scale.

    Join us for the latest Iot Central webinar to learn how Ecobee, a maker of wi-fi enabled smart thermostats, leverages Vertica advanced analytics to process massive raw data clusters at scale to build thermal models so customers can intelligently manage heating and cooling systems and contribute to a sustainable future.

    During this presentation, we will explore how:
    • Vertica in-database machine learning uses massively parallel processing and a familiar SQL interface to accelerate time-to-value on predictive analytics projects
    • Ecobee’s Vertica implementation and broader analytics stack allows them to answer analytics and data science questions faster
    • Ecobee is using smart thermostats and data analytics to unlock new innovations around demand response management, time of use optimization and energy storage
  • Vertica Demo: Exploring S3 and HDFS Data Lakes
    Vertica Demo: Exploring S3 and HDFS Data Lakes Satish Sathiyavageswaran, Tim Donar and Jawahar Annaldasula, Vertica team Recorded: Jan 24 2018 41 mins
    Looking for a way to get the most of your data stored in Hadoop? During this 45mins demo you will learn how you can use Vertica to analyze your data in place on HDFS or S3 storage and avoid moving and reloading. Vertica SQL on Hadoop is platform agnostic and will integrate with any distribution of Hadoop. In addition, a comprehensive set of in-database Machine Learning functions built-in to Vertica allow analysis in place without sampling or movement of large datasets. Join us to see it in action!

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