Analyze Data with Apache Spark in Microsoft Fabric | Visualizations with Matplotlib & Seaborn скачать в хорошем качестве

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 Don't forget to like, subscribe, and hit the notification bell for more advanced tutorials on modern data platforms and analytics!