Adam Filion, MathWorks
As your data sets grow in both size and complexity, it becomes more and more difficult to work with them, particularly when the data does not fit in memory. MATLAB provides a single, high-performance environment for working with big data that makes it easy, convenient, and scalable to analyze and process big data.
In this webinar, you will learn strategies and techniques for handling large amounts of data in MATLAB. New big data capabilities in MATLAB R2016b will be highlighted, including tall arrays. Using tall arrays, there's no need to learn big data programming or out-of-memory techniques -- simply use the same code and syntax you're already used to.
Topics covered include:
About the Presenter
Adam Filion holds a BS and MS in Aerospace Engineering from Virginia Tech. His research involved nonlinear controls of spacecraft and periodic orbits in the three-body problem. After graduating he joined the MathWorks Engineering Development Group in 2010 and moved to Applications Engineering in 2012.
Prior to R2019a, MATLAB Parallel Server was called MATLAB Distributed Computing Server.
Recorded: 8 Dec 2016
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .Select web site
You can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.