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For Software Engineers, DevOps, Data Architects, and IT Leaders
The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
Data Management for Matlab, MathCAD, and SciLab:
- Automatically import/export data to/from Matlab/MathCAD/Scilab
- Easily separate data and analysis
- Batch processing of datasets
- Data filtering
- Easily manage metadata for all your data files
- Built in Data Acquisition (DAQ)
- Implements Microsoft Scientific Dataset so data files are stored in a standard format
This toolkit allows complete control of a microscopy setup from Labview, Matlab, Scilab, Python, .Net, VB, IgorPro, Mathematica and more. Included is a standalone program for image acquisition and scripting control of a scientific microscope.