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Microsoft Fabric Spark Notebook - Learn PySpark and SparkSQL in 2hr(Beginners Course) #microsoft
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Microsoft Fabric End to End Solution - PySpark and SparkSQL Full Course For Beginners
Note:- Download the whole folder
----- Video Outline -----
0:01 Introduction
0:15 Loading File From You Local System to Lakehouse
1:40 Reading CSV File Using PySpark in Microsoft Fabric Notebook
4:02 Select and SelectExpr Function in PySpark
7:30 WithCoumn, WithColumns and WithColumnRenamed Function in PySpark
13:02 Where and Filter Function in PySpark
15:38 GroupBy and Aggregation Function in PySpark
19:45 Joining Two Dataframes Using PySpark
25:34 Union and UnionByName in PySpark
32:06 Drop, DropDuplicates and Distinct Function in PySpark
40:17 Write/Load data to a delta Table and Parquet File Using PySpark
45:16 Overwrite, Append , Ignore and Error Write Mode in PySpark
53:40 Create Delta Table and Load Data through Dataframe in PySpark
01:00:34 Create Delta Table with Partition and Load Data into it Using Dataframe in PySpark
01:10:57 Difference Between Managed and External Table
01:19:34 Create delta table using SparkSQL
01:23:15 Create delta table with Partition using SparkSQL and Insert Data from a View
01:28:48 DML Operations over a delta table using SparkSQL
01:34:17 Temporary and Global Reporary View in PySpark
01:38:32 Data Transformation Over a delta table using SparkSQL
01:50:01 Reading Delta table using PySpark and SparkSQL
If you want to know more about Microsoft Fabric data Warehouse, Please watch below videos-
Note:- Download the whole folder
----- Video Outline -----
0:01 Introduction
0:15 Loading File From You Local System to Lakehouse
1:40 Reading CSV File Using PySpark in Microsoft Fabric Notebook
4:02 Select and SelectExpr Function in PySpark
7:30 WithCoumn, WithColumns and WithColumnRenamed Function in PySpark
13:02 Where and Filter Function in PySpark
15:38 GroupBy and Aggregation Function in PySpark
19:45 Joining Two Dataframes Using PySpark
25:34 Union and UnionByName in PySpark
32:06 Drop, DropDuplicates and Distinct Function in PySpark
40:17 Write/Load data to a delta Table and Parquet File Using PySpark
45:16 Overwrite, Append , Ignore and Error Write Mode in PySpark
53:40 Create Delta Table and Load Data through Dataframe in PySpark
01:00:34 Create Delta Table with Partition and Load Data into it Using Dataframe in PySpark
01:10:57 Difference Between Managed and External Table
01:19:34 Create delta table using SparkSQL
01:23:15 Create delta table with Partition using SparkSQL and Insert Data from a View
01:28:48 DML Operations over a delta table using SparkSQL
01:34:17 Temporary and Global Reporary View in PySpark
01:38:32 Data Transformation Over a delta table using SparkSQL
01:50:01 Reading Delta table using PySpark and SparkSQL
If you want to know more about Microsoft Fabric data Warehouse, Please watch below videos-
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