Data Analysis in Databricks using Pyspark & SQL Hands On
10 Inputs
10 Minutes
Beginner
Industry
e-commerce
Skills
data-wrangling
Tools
databricks
sql
spark
python
Learning Objectives
Load and explore datasets using PySpark DataFrames.
Perform common data manipulation tasks like filtering, grouping, aggregating, and sorting.
Perform common data manipulation tasks on Temporary views
Overview
This module provides a hands-on introduction to data analysis in Databricks using PySpark and SQL. You’ll gain practical experience in loading, transforming, and querying data, enabling you to extract valuable insights with ease.
Prerequisites
Familiarity with data analysis techniques, such as filtering, grouping & joins
Loading Data into Dataframes
Creating Temporary Views
Data Analysis in Databricks using Pyspark & SQL Hands On
