Creating a Delta Lake table

In this recipe, we will explore the process of creating a table in Delta Lake, a powerful open source data lake storage format. Delta Lake provides features such as transactional capabilities, schema evolution, time travel, and concurrency control, making it an ideal choice for scalable and reliable data management. We will guide you through the hands-on steps, explain the underlying concepts, and address common issues you may encounter along the way. This recipe will give you a clear understanding of how to create a Delta Lake table and leverage its advanced capabilities in your data workflows. Let’s get started!

How to do it...

1. Import the required libraries: Start by importing the necessary libraries for working with Delta Lake. In this case, we need the delta module and the SparkSession class from the pyspark.sql module:

   from delta import configure_spark_with_delta_pip, DeltaTable

   from pyspark.sql import SparkSession

2. Create a SparkSession...