There was 5 exabytes of information created between the dawn of civilization through 2 003, but that much information is now created every 2 days, and the pace is increasing...People aren't ready for the technology revolution that's going to happen to them.” – Eric Schmidt, 2010
In the world of Big Data, data visualization can provide a means of combating information overload.
• Understand the 4 Vs of Big Data and complexities they add to a solution
• Learn about different techniques used for data processing and data mining Big Data
• Explore key techniques and theory used in data visualization, including data models, and techniques for intuitive visualization design.
• Gain practical experience building data visualizations.
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Audience: Sales Rep, Account Executive, Sales Engineer, Principal Consultants, Solution Architects, CTO, Executives, Marketing , Business Development , Practice Leader, Manager, Consultants, Systems Integrators, Solution Providers, Resellers, Application / Software Development Firms, Design Studios, Consulting Firms, VARs, MSPs, CSPs
Event Number: IoT004
Available Languages: English (US)
Subjects: IoT - Internet of Things
Review the concepts behind big data and creating effective data visualizations. Students will create their own data visualizations using the concepts learned during the lecture. Sample data sets will be provided, but students are encouraged to find their own data sources to create their visualizations with. You will learn the concept of the four Vs - Velocity, Veracity, Variety, Volume. Understanding the four Vs will allow you to have business level conversations with your clients. Key concepts of how data visualization can quickly deliver value from the mountains of data your clients have across their multitude of applications.