Скачать или смотреть Microsoft Fabric Notebooks: Essential Functions for Data Analysis| Describe, filter, join, groupBy

Unlock the full potential of Microsoft Fabric Notebooks with our in-depth guide on essential functions and commands. Whether you're a data engineer or a data scientist, this video covers everything you need to know to efficiently perform data analysis using PySpark in Microsoft Fabric.

Topics Covered:

What are Microsoft Fabric Notebooks?
Setting up and creating notebooks
Reading data from Excel into DataFrames
Performing various joins (left, right, full, anti)
Visualizing data with the display function
Adding calculated columns for analysis
Grouping and aggregating data
Saving tables in Delta format
Stay ahead with the latest features and best practices in data analysis!

⏰ Timestamps:

00:00 | Introduction and Open a Notebook
03:30 | Load Data in Dataframes using pandas
04:30 | Create Spark Dataframes
05:30 | Use the PySpark Display function
08:00 | Use the PySpark Describe function
10:00 | Use the PySpark Summary function
11:00 | Use the PySpark Select and Filter function
12:00 | Use the PySpark Join function
21:00 | Use the PySpark add column using withColumn
22:30 | Use the PySpark groupBy
25:00 | Save file in delta format in Lakehouse


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