Predictive Analytics with MATLAB
Use machine learning with big data for engineering-driven analytics.
MATLAB® provides a single, high-performance environment for working with big data. MATLAB is:
Easy — Use familiar MATLAB functions and syntax to work with big datasets, even if they don’t fit in memory.
Convenient — Work with the big data storage systems you already use, including traditional file systems, SQL and NoSQL databases, and Hadoop/HDFS.
Scalable — Use the processing platform that suits your needs, from your local desktop machine to Hadoop — without rewriting your algorithms.
Advanced Crash Detection: The Road from Deployment to Production
MATLAB Makes Working with Big Data Easy and Accessible
Access Data
Use MATLAB datastores to access data that normally does not fit into the memory of a single computer. Datastores support a variety of data types and storage systems.
Learn How to Access and Work with:
The Manager’s Guide to Solving the Big Data Conundrum
Explore, Process, and Analyze Data
Explore, clean, process, and gain insight from big data using hundreds of data manipulation, mathematical, and statistical functions in MATLAB.
Tall arrays allow you to apply statistics, machine learning, and visualization tools to data that does not fit in memory. Distributed arrays allow you to apply math and matrix operations on data that fits into the aggregate memory of a compute cluster. Both tall arrays and distributed arrays allow you to use the same functions that you’re already familiar with.
Use Tall Arrays for:
Use Distributed Arrays for:
Develop Predictive Models
Use advanced mathematics and machine learning algorithms in MATLAB to perform unsupervised and supervised learning with big data.
To see the above workflow in action, watch MATLAB Tall Arrays in Action (4:13).
Learn More About:
MATLAB helps your teams focus on their work instead of having to integrate a new system or learn how to program big data.
- Purpose-built algorithms and tools allow your teams to focus on their work, not big data programming
- MATLAB plugs into your existing systems and processes
- It offers rapid operationalization of your analytics royalty-free
Access and analyze big data with MATLAB using your existing IT systems and processes, including:
- Desktop PC with local disk and fileshares
- SQL and NoSQL databases
- Hadoop, HDFS, and Spark
You can also deploy analytics (2:28) in interactive, streaming, and batch applications royalty-free.
MATLAB and Simulink products are used in mission-critical applications including automotive, aerospace, manufacturing, and medical and are fully supported. 95% of our support calls receive responses in less than 3 minutes by a team of support engineers.