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Vertica Big Data

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  • 4 Steps to Drive Customer Lifetime Value & Gain Real-Time Behavior Intelligence
    4 Steps to Drive Customer Lifetime Value & Gain Real-Time Behavior Intelligence
    Yaacov Ben-Yaacov, CEO, Catch Media Recorded: Dec 13 2018 59 mins
    In today’s competitive content services space (including music, OTT, eBooks and other licensed content), traditional telcos, content owners and content distributors must compete with the likes of Netflix, Amazon, Facebook and other new economy companies to attract and retain customers. Join our latest Data Disruptors webcast to hear how Catch Media is helping traditional players drive revenue and gain deep customer insights so they can compete in the new world of cord-cutting and over the top and digital content technologies.

    Yaacov Ben-Yaacov, CEO of Catch Media, will show how his company enables content owners and distributors to achieve 50%+ increase in engagement through the segmentation of end consumers into distinct audiences that can be targeted in near real-time with messaging and recommendations personalized to their content consumption behavior.

    On this webcast you’ll learn:
    • Key market trends and challenges facing traditional telcos, pay TV operators, digital content service providers and content owners
    • 4 steps needed to engage consumers, drive lifetime value and increase revenue
    • Why Catch Media chose Vertica for scale, performance, and flexibility
    • How businesses that embed Vertica can deliver higher value to customers
  • Vertica’s Eon Mode – the power of separating Compute and Storage in the Cloud
    Vertica’s Eon Mode – the power of separating Compute and Storage in the Cloud
    Jaimin Dave and Styliani Pantela, Vertica Engineering Recorded: Nov 28 2018 58 mins
    Join us to learn more about Vertica’s new Eon Mode – the power of separating Compute and Storage. You will walk away with an appreciation for how Vertica can run in the Amazon cloud, meeting your technical, operational, and financial goals as well as a deep understanding of fundamental Eon Mode concepts.

    With Vertica 9.1, Vertica in Eon mode is out of beta and generally available as the Vertica Cloud Solution on AWS. We will cover core Vertica in Eon Mode concepts, including sharding, subscriptions, caching, sharing and reviving a cluster from S3 and present new features added since the beta release. Finally, we highlight Eon Mode’s key features through the presentation of a specific use case.
  • Using advanced analytics to help farmers optimize resources and maximize yield
    Using advanced analytics to help farmers optimize resources and maximize yield
    Erich Hochmuth, Big Data Architect, The Climate Corporation and Ben Smith, Senior Product Marketing Manager, Vertica Recorded: Nov 15 2018 54 mins
    The Climate Corporation aims to help the world's farmers sustainably increase their productivity with digital tools. The integrated Climate FieldView™ digital agriculture platform provides farmers with one comprehensive, connected suite of digital tools to help them optimize resources and maximize yield. Building the digital tools to support this mission requires processing and analyzing petabytes of diverse datasets. Everything from satellite imagery and weather data, to sensor data from on-farm equipment and clickstream data must be ingested and made available for analytics.

    Join us on the latest Data Disruptors webcast featuring Erich Hochmuth, Big Data Architect at The Climate Corporation, to hear how Climate’s fit for purpose, best in class analytics platform FieldView™ brings together Vertica, Spark, Kettle, Looker, and other tools in a cloud deployment on AWS that democratizes access to data and enables a data driven culture. Learn about Vertica’s role in this ecosystem and how the advanced analytics platform has enabled Climate to achieve:
    • 100% automation
    • Minimal maintenance overhead
    • A highly available redundant deployment in the cloud
  • Secure your Big Data Analytics for GDPR Compliance
    Secure your Big Data Analytics for GDPR Compliance
    Tom Wall, Sanjay Baronia and Carole Patrice Murphy, Micro Focus Recorded: Oct 30 2018 55 mins
    Can you protect personal data in analytical databases, while increasing data access, and enabling compliance with GDPR and other data privacy regulations?

    In this session, you will learn how Voltage SecureData for Vertica, a data-centric security offering that puts the control on the analytics data using format preserving encryption, enables trusted big data to move between untrusted environments. As a result, this combined solution allows data protection to persist as the data moves from storage to in-flight to in-use within applications without requiring changes to downstream applications.
  • Namara powers your business with data access, management and integration
    Namara powers your business with data access, management and integration
    Brendan Stennett, Co-Founder & CTO, ThinkData Works Recorded: Oct 17 2018 38 mins
    Join the latest webcast in our Data Disruptors Series to see how Namara - a data management platform - uses collaboration and role management as fundamental pillars to give businesses greater visibility over structured data across multiple data silos, as well as access to the wider world of public open data.

    On this webcast you’ll hear from Brendan Stennett, Co-Founder & CTO of Toronto-based ThinkData Works on how the Namara platform:
    • Provides fine-grained access control to the right people in an organization so they can access the data they need to fuel the products and applications that are driving their business forward
    • Uses a proprietary data ingestion pipeline to make on-boarding data in a variety of formats a fast and painless experience
    • Leverages a unique data query engine to make integrating data into apps easy and flexible
    • Delivers world class query performance, powered by Vertica
  • Improving Customer Experience with Machine Learning and Sensor Data at Scale
    Improving Customer Experience with Machine Learning and Sensor Data at Scale
    Larry Lancaster, Zebrium Recorded: Sep 27 2018 39 mins
    We live in an increasingly connected world – from cloud software and data center hardware to medical devices, industrial machines, and consumer wearables. Whatever can be connected, will be connected. Why? Because vendors (manufacturers) seek to tap the telemetry data from these connected products to improve their customer experience.

    Building a big data platform from scratch to capture this opportunity is difficult, since most of the data is unstructured and requires specialized domain knowledge and engineering skills to leverage. Join four-time Vertica customer, Larry Lancaster, on our latest Data Disruptors webcast as he explains how:

    • His latest venture, Zebrium, uses Machine Learning to structure product telemetry into a relational system of record to ingest data in-line, at wire speed
    • The Zebrium cloud service platform delivers specialized tools to improve the customer support experience
    • Vertica has enabled each of his former companies – Glassbeam, Data Domain, and Nimble Storage – to become data disruptors in their respective domains
  • 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.

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