Suppose you are a wildlife researcher who is studying the diversity of wildlife in the African Savannah. You have millions of images captured by camera traps and all the image data store in json metadata files. How do you make sense of all this data? How do you build a data analytics solution that can handle large-scale and complex data sets? This workshop will walk you through the process of building an end-to-end data analytics solution thats can help you answer these questions using Microsoft fabric. Microsoft Fabric is a unified data platform that offers a comprehensive suit of services such as data science, data engineering, real-time analytics, and business intelligence. You will learn how to:

• Load data into Microsoft Fabric using Data Factory pipelines.
• Leverage SQL queries to explore and analyze the data.
• Create reports & Visualize the data using Power BI.
• Use Apache Spark for data processing and analytics.
• Train & Evaluate a machine learning model using the data science workload in Microsoft Fabric.

By the end of this workshop, you will have a better understanding of how to use Microsoft Fabric to create an end-to-end data analytics solution that can handle large-scale and complex data sets.