Data governance is a central tool used by organizations to organize, utilize and leverage data within them. It includes all aspects of data management from storage to collection to usage to oversight – so organizations must implement data governance measures to ensure data is stored safely while still being accessible at any time and used properly for its intended purposes.
The component catalog allows users to install new models, datasets or knowledge bases into SGP for fine-tuning their models or creating applications utilizing its capabilities. Only users with at least manager permissions on their account may use this catalog.
SGP supports multiple model formats, making it simple and efficient to deploy and use models created using different tools in your data science workflow. These include JSON and HDF5 for numeric and string values; CSV for tabular data. Furthermore, SGP features several aggregation functions for merging information from multiple sources into more meaningful, actionable, and reliable reports.
SGP provides not only data aggregation services, but also provides additional tools that allow you to explore your data and gain insights from it. These features include visualization, statistics and reporting – more details can be found in the SGP documentation.
If you want a deeper insight into how SGP works, watch this video walkthrough below. This will give an overview of its key concepts and features; plus tips to ease data science workflows.
SGP provides a list of training datasets that can be used to train and fine-tune models, with this list automatically updated as SGP detects new datasets. Depending on your installation, new training datasets may need to be manually uploaded into SGP.
The sgpData dataset is an anonymized panel data set consisting of five years’ annual vertically scaled assessment data in WIDE format. It serves as an exemplar data set that conforms to the requirements for studentGrowthPercentiles and studentGrowthProjections functions at lower levels; additionally it includes student identifiers as well as grade level/time associated with assessment occurrences for each assessment date/occurrence.
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