Selecting and Renaming Columns in Spark Data Frames using Databricks and Pyspark

In this section, you will learn all the important concepts and functions related to Selecting and Renaming Columns in Spark Data Frames as part of your preparation path for the certification exam titled Databricks Certified Associate Developer using Apache Spark.

Here are the full Databricks Courses with video lectures, material, Udemy-based support, etc.

🟢 Databricks Certified Associate Developer - Apache Spark 2022 (NEW & HOT)

Who this course "Databricks Certified Associate Developer - Apache Spark 2022" is for?
* Python Developers or Data Engineers aspiring to get better understanding of Spark Data Frame APIs and also to prepare for Databricks Certified Associate Developer for Apache Spark Exam
* Python Developers or Data Engineers preparing for Databricks Certified Associate Developer for Apache Spark
* Data Engineers who would like to learn more about using Spark on Databricks Platform also to prepare for Databricks Certified Associate Developer for Apache Spark Exam

What does this course "Databricks Certified Associate Developer - Apache Spark 2022" cover?
* Setup Environment to prepare for Databricks Certification
* Spark Dataframe APIs using Python (Pyspark) relevant for the certification
* Important tips and strategies to take the exam to boost the probability

🟢 Data Engineering using Databricks on AWS and Azure (BESTSELLER)

Who this course "Data Engineering using Databricks on AWS and Azure" is for?
* Data Engineers who want to understand the key features of Databricks on platforms such as AWS and Azure.

What does this course "Data Engineering using Databricks on AWS and Azure" cover?
* The course extensively covers features such as Databricks Jobs and Clusters, Delta Lake, Cloud Files, etc. The course includes the content related to this video.
Here are the details about what is covered in this section or module related to Selecting and Renaming Columns in Spark Data Frames.
0:00:00 -- Introduction
0:00:05 -- Selecting and Renaming Columns in Spark Data Frames Introduction
0:01:03 -- Creating Spark Data Frame to Select and Rename Columns
0:02:48 -- Overview of Narrow and Wide Transformations
0:06:41 -- Overview of Select on Spark Data Frame
0:13:11 -- Overview of selectExpr on Spark Data Frame
0:20:00 -- Referring Columns using Spark Data Frame Names
0:25:04 -- Understanding col function in Spark
0:33:16 -- Invoking Functions using Spark Column Objects
0:39:49 -- Understanding lit function in Spark
0:47:40 -- Overview of Renaming Spark Data Frame Columns or Expressions
0:50:07 -- Naming derived columns using withColumn
0:57:51 -- Renaming Columns using withColumnRenamed
1:01:24 -- Renaming Spark Data Frame columns or expressions using alias
1:10:33 -- Renaming and Reordering multiple Spark Data Frame Columns
1:17:27 -- DataBricks Outro

All the demos are given using real-world examples leveraging Databricks notebook. For material and support, you can sign up for our Udemy course.

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🟢Complete Databricks Certified Associate Developer - Apache Spark 2022 course with support on Udemy (NEW & HOT)
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