Get prepared for the DP-600 certification exam and become a certified Fabric Analytics Engineer with our comprehensive tutorials. Learn key concepts, best practices, and hands-on techniques to master Microsoft Fabric, data modeling, and analytics. Start your journey to certification today!
Introduction In order to work with data in Microsoft Fabric, you first need to get data into it. There are several ways to do this. One way is to use a data pipeline. In this tutorial, we will explain step-by-step how to ingest data into a Fabric lakehouse using a...
Introduction One of the key tasks in data analysis is grouping data to gain insights and make informed decisions. In this tutorial, we will show you how to group the rows of a PySpark DataFrame and apply different aggregations on the grouped data. In order to do this, we will...
Introduction In this tutorial, we want to make aggregate operations on columns of a PySpark DataFrame. In order to do this, we use different aggregate functions of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import SparkSession from pyspark.sql.functions import * Create SparkSession Before...
Introduction In this tutorial, we want to replace null values in a PySpark DataFrame. In order to do this, we use the the fillna() method of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import SparkSession from pyspark.sql.functions import mean Create SparkSession Before...
Introduction In this tutorial, we want to drop rows with null values from a PySpark DataFrame. In order to do this, we use the the dropna() method of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import SparkSession Create SparkSession Before we can work with...
Introduction In this tutorial, we want to drop duplicates from a PySpark DataFrame. In order to do this, we use the the dropDuplicates() method of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import SparkSession Create SparkSession Before we can work with Pyspark, we need...
Introduction In this tutorial, we want to filter specific rows from a PySpark DataFrame based on specific conditions. In order to do this, we use the the filter() method of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import SparkSession Create SparkSession Before we can...
Introduction In this tutorial, we want to add columns to a PySpark DataFrame. In order to do this, we use the the withColumn() method of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import SparkSession from pyspark.sql.functions import lit, col, sum, when from...