Making MATLAB Data Analytics Accessible Across the Enterprise
MATLAB® has scaled up to support cluster and cloud-based data and computing frameworks. In the meantime, data and computing framework technologies continue to evolve rapidly. In this presentation, Anders Sollander provides an example of how an enterprise customer integrated MATLAB with their existing framework. The integration enables engineers to slice and dice very large datasets using Apache Spark™ and extract forensic slices to develop analytics that can then be pushed down to execute at scale on the cluster. The integration with MATLAB also supports workflows that conform to enterprise-level security, governance, and access controls requirements while enabling users to make the results of their analytics easily accessible across the organization.
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