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Building an IOT Predictive Maintenance Solution for Scale with Vertica

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.
Recorded May 2 2018 58 mins
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Presented by
Jeff Healey, Tim Donar and Jawahar Annaldasula, Vertica
Presentation preview: Building an IOT Predictive Maintenance Solution for Scale with Vertica

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  • 4 Steps to Drive Customer Lifetime Value & Gain Real-Time Behavior Intelligence Apr 16 2019 5:00 pm UTC 58 mins
    Yaacov Ben-Yaacov, CEO, Catch Media
    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
  • Philips Aims for Zero Unplanned Equipment Downtime with Predictive Analytics Apr 3 2019 3:00 pm UTC 60 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
    • How to achieve continuous, data-driven innovation with integrated teams of SMEs, data scientists and business stakeholders
    • The company’s approach to data integration and predictive model creation
    • Key aspects of Philips’ predictive maintenance platform and data architecture components
  • Improving Dashboard Performance, Achieving Fine-Grained Analytics with Vertica Mar 19 2019 5:00 pm UTC 60 mins
    Yuanzhe Bei and Jie Guo, Vertica
    There are two popular ways that organizations mine growing volumes of data for insight: short-term dashboard reporting and long-term analytics. Every organization would like their dashboards on recent data to be faster in addition to keeping data longer so that data analytics can derive more insightful, granular results.

    Join us for this Webcast to understand how Vertica can help you achieve both of these goals with these powerful features – Hierarchical Partitioning, Flattened Tables, and Live Aggregate Projections. Discover how Hierarchical Partitioning combines old data partitions into larger files, allowing you to retain more data without bloating the catalog or forcing partitions to be less fine-grained. The former benefits data analytics, while the latter helps with dashboard reporting, as more fine-grained partitions help with pruning data more aggressively, resulting in faster query performance and less resource usage.

    You’ll also learn how Flattened Tables provides convenient and faster data denormalization for your dashboard queries and optimizes resources more efficiently by avoiding joins. The unique column-wise refresh mechanism can defer denormalization operation after your ETL process without introducing much overhead. Finally, learn how Live Aggregate Projections materializes partially aggregated results to speed up those aggregation-type analytical queries.
  • Using analytics to increase staffing productivity & improve hospital operations Recorded: Mar 6 2019 55 mins
    Linh Dye, Director of Data Management, Barnes-Jewish Hospital and Ben Smith, Senior Product Marketing Manager, Vertica
    Barnes-Jewish Hospital’s mission is to take exceptional care of people by providing world-class health care in a compassionate, respectful and responsive way. To support this mission, the Data Management Team at Barnes-Jewish took on the transformative task of enabling data-driven operations and business decisions at all levels of healthcare delivery. Succeeding in this ambitious project required not only the right strategies and technologies, but a journey of transformation, knowledge acquisition and growth.

    Join our latest Data Disruptors webcast to hear Linh Dye, Director of Data Management at Barnes-Jewish Hospital, describe her organization’s journey from data silos and static dashboards to fully automated data processing and predictive analytics. This webcast will cover how:

    • Barnes-Jewish acquired the right technologies, skills and people for this journey
    • Data supports daily operations with staffing and labor productivity at all 55 inpatient units
    • The Data Management team is moving toward more predictive analytics use cases
    • Integrating the right technologies, Vertica and Tableau, played a key factor in success
  • 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?

    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.
  • Under the Hood: What’s New in Vertica 9.2 Recorded: Jan 30 2019 58 mins
    Mark Lyons, Micro Focus
    Join us to learn all about the latest features now available in Vertica 9.2. If you have variable, business-critical analytical workloads, you’ll want to hear how Vertica in Eon Mode now includes database branching for creating instant Vertica clones for scaling throughput and backup and recovery functionality for 24x7 data protection. Your data engineers will be interested in Vertica 9.2’s new Machine Learning functionality to create workflows involving multiple machine learning algorithms with similar data types. And, with support for our new open source Python Vertica client, your developers and data scientists will learn how they can now run SQL queries, perform advanced analytics, and load data into Vertica, all from within the confines of their Python code.
  • Vertica’s Eon Mode – the power of separating Compute and Storage in the Cloud Recorded: Nov 28 2018 58 mins
    Jaimin Dave and Styliani Pantela, Vertica Engineering
    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 Recorded: Nov 15 2018 54 mins
    Erich Hochmuth, Big Data Architect, The Climate Corporation and Ben Smith, Senior Product Marketing Manager, Vertica
    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 Recorded: Oct 30 2018 55 mins
    Tom Wall, Sanjay Baronia and Carole Patrice Murphy, Micro Focus
    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 Recorded: Oct 17 2018 38 mins
    Brendan Stennett, Co-Founder & CTO, ThinkData Works
    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 Recorded: Sep 27 2018 39 mins
    Larry Lancaster, Zebrium
    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 Recorded: Sep 13 2018 51 mins
    William McKnight, President, McKnight Consulting Group and Sanjay Baronia, Lead Product Marketing Manager, Vertica
    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 Recorded: Aug 28 2018 48 mins
    Badr Ouali, Vertica Data Scientist and Steve Sarsfield, Director of Product Marketing, Micro Focus
    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 Recorded: Aug 16 2018 49 mins
    Medha Bhadkamkar, Senior Manager of Data Science and Services for InfoSight, Hewlett Packard Enterprise
    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 Recorded: May 2 2018 58 mins
    Jeff Healey, Tim Donar and Jawahar Annaldasula, Vertica
    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 Recorded: Mar 21 2018 59 mins
    David Sprogis, Product Manager for Cloud and Eon, Micro Focus
    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 Recorded: Mar 8 2018 45 mins
    Rob Winters, Head of Data Science, TravelBird and Steve Sarsfield, Director of Product Marketing, Vertica
    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 Recorded: Feb 21 2018 54 mins
    Waqas Dhillon and Josh Poduska, Vertica
    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 Recorded: Feb 15 2018 39 mins
    Mark Lyons and Steve Sarsfield, Vertica
    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 Recorded: Feb 1 2018 60 mins
    Sina Shahandeh, Director of Data and Analytics, Ecobee and Benjamin Smith, Senior Product Marketing Manager, Vertica
    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
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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  • Title: Building an IOT Predictive Maintenance Solution for Scale with Vertica
  • Live at: May 2 2018 3:00 pm
  • Presented by: Jeff Healey, Tim Donar and Jawahar Annaldasula, Vertica
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