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Vertica Analytics Platform

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  • Improving Dashboard Performance, Achieving Fine-Grained Analytics with Vertica
    Improving Dashboard Performance, Achieving Fine-Grained Analytics with Vertica
    Yuanzhe Bei and Jie Guo, Vertica Recorded: Mar 19 2019 53 mins
    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
    Using analytics to increase staffing productivity & improve hospital operations
    Linh Dye, Director of Data Management, Barnes-Jewish Hospital and Ben Smith, Senior Product Marketing Manager, Vertica Recorded: Mar 6 2019 55 mins
    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
    A Deep Dive of Data Lakes with Vertica for SQL on Hadoop
    James Clampffer and Anatoli Shein, Vertica Recorded: Feb 21 2019 55 mins
    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
    Under the Hood: What’s New in Vertica 9.2
    Mark Lyons, Micro Focus Recorded: Jan 30 2019 58 mins
    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
    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.

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