Analyze Data with Apache Spark in Microsoft Fabric | Visualizations with Matplotlib & Seaborn

Join us in this in-depth lab tutorial as we demonstrate how to analyze data with Apache Spark in Microsoft Fabric using PySpark. In this 20-minute session, you'll learn to:

Create a Microsoft Fabric workspace and lakehouse
Ingest CSV files spanning multiple years into your Fabric lakehouse
Build and transform Spark DataFrames with custom schemas
Use PySpark to filter, aggregate, and group your data
Execute Spark SQL queries and seamlessly visualize your results
Save and partition data in Parquet format
Generate eye-catching visualizations using Matplotlib and Seaborn
This tutorial is perfect for data engineers, analysts, and anyone looking to deepen their big data and data visualization skills. If you're eager to master data ingestion, transformation, and charting within a modern data lakehouse environment, this video is for you!

Keywords: Apache Spark, Microsoft Fabric, PySpark, Data Analysis, Data Transformation, Lakehouse, Spark SQL, Big Data, Data Engineering, CSV Ingestion, Parquet, Data Visualization, Matplotlib, Seaborn, Tutorial, Lab

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