Microsoft Fabric is a platform that offers Data Science solutions to empower users to complete end-to-end data science workflows for data enrichment and business insights. The platform supports a wide range of activities across the entire data science process, from data exploration, preparation, and cleansing to experimentation, modeling, model scoring, and serving predictive insights.
The typical data science process in Microsoft Fabric involves the following steps:
The financial department of your organization already uses Power BI within Fabric to visualize their data. Now, they would like to use machine learning to generate a cashflow forecast. The data is already in a Lakehouse in OneLake and does therefore not have to be moved or copied. It can directly be used in Synapse Data Science to preprocess the data and perform exploratory data analysis using notebooks. Then, model experimentation can start within the notebooks, tracking important metrics using the built-in MLflow capabilities. After landing on a model that performs well, a cashflow forecast can be generated and written back to the Lakehouse, ready to be visualized within Power BI. The notebooks can then be scheduled to automatically generate a monthly cashflow forecast.
Microsoft Fabric can also serve as a powerful tool for real-time data analytics, featuring an optimized platform tailored for streaming and time-series data analysis. It is thoroughly designed to streamline data integration and facilitate rapid access to valuable data insights. This is achieved through automatic data streaming, indexing, and data partitioning, all of which are applicable to various data sources and formats. This platform proves to be particularly well-suited for organizations seeking to elevate their analytics solutions to a larger scale, all the while making data accessible to a diverse spectrum of users. These users span from citizen data scientists to advanced data engineers, thus promoting a democratized approach to data utilization.
Want to know more about Microsoft Fabric as a service? On October 26 we’re organizing a Fabric Masterclass that dives deep into different Fabric use cases for Data Science, Data Engineering, and Data Visualisation.
In Microsoft Fabric, data engineering plays a pivotal role to empower users to architect, construct, and upkeep infrastructures that facilitate seamless data collection, storage, processing, and analysis for their organizations.