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.
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.
Join us to learn the top four use cases for the Vertica Management Console. Specifically, you will learn how the Vertica Management Console can enable your organization to effectively manage system resources across all your users to deliver optimal query performance, understand query optimization paths and resource usage, plan and triage queries by looking at historical system data, and receive timely alerts to keep Vertica running optimally.
Jeff Swanner, Data Engineer, Simpli.fi and Ben Smith, Senior Product Marketing Manager, VerticaRecorded: May 1 201959 mins
Simpli.fi is a leading programmatic advertiser trusted by the largest ad buyers to localize ad targeting and content, deliver performance on high volumes of localized campaigns, and provide deep insights on their dynamic audiences. To deliver these insights, Simpli.fi developed a data analytics platform capable of handling hundreds of millions, to billions of bid messages streaming in each hour and transforming that data into timely, dynamic information available through their customer application.
Join our latest Data Disruptors webcast to hear Jeff Swanner, Data Engineer at Simpli.fi, describe how his organization is using Vertica alongside Kafka, Spark, Looker and other tools to effectively manage the flow of real-time data needed to target ad impressions across numerous audience dimensions and advertising exchanges. The webcast will cover:
• 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
• The advantages of using Vertica for highly scalable data loading, tuning and querying
Vincent Xu, Engineering Manager, VerticaRecorded: Apr 17 201940 mins
Join us for this next session of “Under the Hood of Vertica” as we take a deep dive into Vertica’s integration with Apache Spark, an in-memory data processing engine.
Our technical experts will discuss Vertica’s latest support for Apache Spark version 2.1, review common use cases for each, and demonstrate how to leverage Vertica and Spark together to enable continuous, real-time processing and transformation of data streams.
Yaacov Ben-Yaacov, CEO, Catch MediaRecorded: Apr 16 201958 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
Jeff Healey and Ryan Roelke, VerticaRecorded: Apr 11 201956 mins
If you’re like most of our customers, your data pipeline includes custom analytic functions and data loaders written in C++, R, Python, and other languages. It’s important that your analytical database is extensible enough to ensure that you can leverage those functions and loaders.
Join us for this Webcast to learn how Vertica has a highly extensible User-Defined Extension (UDx) framework that allows you to develop your own analytical or data loading tools within Vertica, including new types of data analysis and the ability to parse and load new types of data. As a result, routines written in C++, R, Java or Python can be run in-database as Vertica SQL functions, increasing the power and flexibility of procedural code by bringing it closer to the data.
Learn all about the range of available Vertica UDXs, common use cases, and even how to write user-defined scalar and parser functions.
Raghunath Pawar, Vertica PreSales, Micro FocusRecorded: Apr 11 201948 mins
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.
• 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
• In short, finding the art of the possible using Vertica ML
Join us to hear how easy data-science is using Vertica & SQL and how to deliver predictive analytics effectively & quickly.
William McKnight, Analyst, GigaOm Analyst and Paige Roberts, Product Marketing, VerticaRecorded: Apr 10 201962 mins
This one hour webinar from GigaOm Research brings together experts in modern uses of data warehousing. Featuring GigaOm Analyst William McKnight and a special guest from Vertica, Paige Roberts, the presentation will focus on strategies enterprises should be undertaking today for evolving data warehouse ecosystems.
Despite the allure and utility of other analytic data constructs, enterprises continue to invest the most in, and get tremendous benefit from, great data warehouses. The data warehouse is still the key component of the actionable analytic future. However, the data warehouse of today is used differently, can accomplish new things, and requires different technical and business strategies to get the most out of it, than before.
In this webinar, McKnight dives into the current state of data warehouse initiatives. He discusses how implementation realities of the last two decades have demonstrated the importance of the data warehouse, and why enterprise leaders must think differently about data warehousing as a whole.
Paige Roberts, from the Vertica product marketing team, looks at specific changes in modern analytics platforms like Vertica, examines how these changes embrace the new data warehouse ecosystem and address new data warehouse requirements.
This one hour webinar explores:
• The state of the data warehouse today and strategies to maximize the return on data warehouse investments of 2019 and beyond.
• The flavors of the data warehouse and the criteria for ensuring your data warehouse(s) is up to standard
• Key considerations when building a new data warehouse, evolving an existing data warehouse, or contemplating a re-platforming.
• The continued relevance of data warehousing today
• How to know when to put your data warehouse in contain mode
• Ideas for data platform selection for a data warehouse
Dr. Ir. Mauro Barbieri, Senior Scientist, Philips Research and Carlo Arioli, EMEA Marketing Manager, VerticaRecorded: Apr 3 201959 mins
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
Yuanzhe Bei and Jie Guo, VerticaRecorded: Mar 19 201953 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.
Linh Dye, Director of Data Management, Barnes-Jewish Hospital and Ben Smith, Senior Product Marketing Manager, VerticaRecorded: Mar 6 201955 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
James Clampffer and Anatoli Shein, VerticaRecorded: Feb 21 201955 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.