As a Data Engineer, I collect, extract and transform raw data in order to provide clean, reliable and usable data.
Introduction In this tutorial, we want to explain the characteristics of a Data Lakehouse. In order to do this, we will take a closer look at the key features of Data Lakes and Data Warehouses and how a Data Lakehouse combines the best of both worlds. Definition At its core,...
Introduction In this tutorial, we want to read a CSV file into a PySpark DataFrame. In order to do this, we use the csv() method and the format("csv").load() method of PySpark DataFrameReader. Besides, we use spark.read for creating a DataFrameReader instance. Import Libraries First, we...
Introduction In this tutorial, we want to explode arrays into rows of a PySpark DataFrame. In order to do this, we use the explode() function and the explode_outer() function of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import SparkSession from pyspark.sql.functions...
Introduction In this tutorial, we want to add the current date and the current timestamp to a PySpark DataFrame. In order to do this, we use the current_date() function and the current_timestamp() function of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import...
Introduction In this tutorial, we want to use regular expressions (regex) to filter, replace and extract strings of a PySpark DataFrame based on specific patterns. In order to do this, we use the rlike() method, the regexp_replace() function and the regexp_extract() function of PySpark. Import Libraries...
Introduction In this tutorial, we want to create a UDF and apply it to a PySpark DataFrame. In order to do this, we will show you two different ways: using the udf() function and using the @udf decorator. Import Libraries First, we import the following python modules: from pyspark.sql...
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 concatenate multiple PySpark DataFrames. In order to do this, we use the the union() 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 to create...
Introduction In this tutorial, we want to join PySpark DataFrames. In order to do this, we use the the join() 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 to create a...