Technical Track Sessions
Tuesday, August 12 – Wednesday, August 13
Real Time Analysis: Live aggregate projections in HP Vertica
It’s widely known that the HP Vertica Analytics Platform provides blazing-fast performance for organizations that need sub-second response times. However, to achieve optimal performance, projections are a key strategy for analytics optimization. In this session, you will learn how to create the architecture necessary to support real-time analytics when calculating metrics like SUM, MIN/MAX and other aggregates.
Date: Tuesday, August 12
Time: 9:40am – 10:20am
Chuck Bear – Senior Developer – HP Vertica
HP Vertica and Hadoop: Moving from co-existence to convergence
Is both HP Vertica and Hadoop part of your infrastructure? Join us for a discussion to learn why and how you can use HP Vertica AND Hadoop together to solve your organization’s big data challenges. You’ll discover how HP Vertica customers have adopted a “best-tool-for-the-job” approach, using both HP Vertica and Hadoop to their best advantage—whether it is Hadoop for raw storage and HP Vertica for blazing-fast analytics or HP Vertica and Hadoop for analytics and more. Our presenter will also drill into some of the latest innovations from HP Vertica to build a harmonious architecture.
Flex Zone: Fast, sophisticated SQL analysis on semi-structured data in HP Vertica
Shine a light on semi-structured data using the richest most open SQL on Hadoop. Learn from the lead developer of HP Vertica Flex Zone about how it gives you the power to quickly and easily load and discover value in rapidly growing forms of semi-structured and structured data.
Date: Tuesday, August 12
Time: 1:40pm – 2:20pm
Ben Vandiver – HP Vertica
Deeper look at Distributed R
The HP Vertica Analytics Platform provides tight integration with R and other advanced analytics libraries. In this session, learn real-world use cases based on using the new Distributed R analytics with the HP Vertica Analytics Platform. Learn how you can analyse data that’s too large for plain R by distributing processing across multiple nodes. The HP Vertica solution offers GUIs and packages that are familiar to R aficionados, but offer vastly improved performance on large data sets.
Building Geospatial and Social Analytics Apps on HP Vertica
The HP Vertica Analytics Platform provides powerful analytics for both geospatial and social analytics. Learn real-world use cases for analytics with the HP Vertica Analytics Platform and understand how you can develop your own geospatial and social analytics applications.
Migrating a Healthcare Analytics Application to HP Vertica: Tips & Tricks
Join the Verisk and CMA consulting team as they take you through their multi-tenant project. Topics include the process of migrating a large Analytics application to Vertica from another database vendor and automation of tools and processes for the data migration. You’ll hear the technical detail of how Verisk performs tuning of analytics using Vertica projections and how they push the limits of Vertica analytics performance.
Tuning HP Vertica: Tools and techniques
Do you want to get the most out of your HP Vertica investment? Join Management Console engineers and an industry expert consultant for Tips and Tricks for Vertica’s Management Console. Learn how the Management Console leverages Data Collector metrics and identifies bottlenecks to help you optimize your cluster’s performance. Learn how to use new query profiling functionality to gain insights into where your queries are spending their time and resources. Hear about real-world scenarios where query profiling data has been used to identify data model issues and to improve performance.
How to load 35TB/hr into Vertica
Columnar store databases have a notorious reputation for being fast with analytics, but slow to load. Learn how Vertica is breaking through those old paradigms with new functionality and new strategies for loading data fast.
Date: Wednesday, August 13
Time: 2:30pm – 3:10pm
Bryan Whitmore - Corporate Systems Engineer – HP vertica
*Track session topics are subject to change.