Microsoft Fabric: Difference between revisions
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; Need for structured questionnaire data (AI and BI ready) | ; Need for structured questionnaire data (AI and BI ready) | ||
*To save storage, questionnaire answers are stored in a serializedanswer column in a JSON format. First, we have to transform this format to create structured data. Here, we can utilize the Fabrics Notebook. Notebook is a multi-language interactive programming tool that executes Spark jobs in order to transform, process, and visualize data. | |||
Revision as of 07:48, 8 July 2024
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Microsoft Fabric is a unified data analytics platform that provides a suite of tools for data movement, processing, ingestion, transformation, real-time event routing, and report generation. It incorporates OneLake, a unified data storage solution, eliminating the need to duplicate data for each step of data manipulation. Fabric functions as Software as a Service (SaaS). It combines new and existing components from Power BI, Azure Synapse Analytics, Azure Data Factory, and other services into a unified environment. These components are then tailored to customized user experiences.
Questionnaire data in Fabric
Questionnaires are digital forms, usually running in Resco mobile apps, that allow you to collect data in the field. Microsoft Fabric is a tool designed for data management, and there are two main reasons to consider its integration:
- The size of the collected data(storage cost)
- The size of questionnaire data can grow substantially, raising data storage expenses. Microsoft Fabric offers a cheap alternative for storing large amounts of data.
- Need for structured questionnaire data (AI and BI ready)
- To save storage, questionnaire answers are stored in a serializedanswer column in a JSON format. First, we have to transform this format to create structured data. Here, we can utilize the Fabrics Notebook. Notebook is a multi-language interactive programming tool that executes Spark jobs in order to transform, process, and visualize data.