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Peak ODS Server: Enhanced Data Management for Simcenter™ Testlab™
In the ever evolving world of automotive and aerospace testing, efficient test data management is crucial. Simcenter™ Testlab™ provides a fast and easy comparison of measurement, analysis and simulation results of a wide range of test objects. This is based on powerful functions for data organization, visualization and reporting. With the new version of Simcenter™ Testlab™, users can now upgrade their data backend using an ASAM ODS database. In such a configuration, the data can be published in a customizable data model along with contextual information. This allows users to more effectively organize, analyze and easily share the data with colleagues, other teams and departments, or even with suppliers and customers. All stakeholders can search for the data based on uniform engineering properties and context information in an ODS-compliant way.
ODS Test Data Analytics with Jupyter Notebooks
A Jupyter Notebook is an interactive way to "prototype and explain your code, explore and visualize your data, and share your ideas with others". This makes a Jupyter Notebook - with a Python kernel - the ideal tool to programtically explore the data contained in the Peak ODS Server.
To get you started working with ASAM ODS data in a Notebook we provide you with our ODS Library for easier using ODS in Python together with Example Notebooks.
Have fun exploring your data…
