Scala & Spark-Master Big Data with Scala and Spark - Spark DF Read Data

This video tutorial explains the difference between Spark context and Spark session, emphasizing the use of Spark sessions for working with DataFrames. It provides a step-by-step guide on creating a Spark session, including setting the app name and using 'get or create'. The tutorial also covers reading data using Spark DataFrames, highlighting the importance of specifying options like headers. The video concludes with a brief summary and a preview of the next video, which will explore DataFrames in more detail.

What is the purpose of the 'getOrCreate' method in Spark Session?

What options are available in Spark Data Frames for reading data?

What is the significance of the 'show' method in Data Frames?