Introduction to PySpark
Getting Started with Big Data Processing Using Python
Join us for a 90-minute beginner-friendly introduction to PySpark. Understand what PySpark is, why it is used, how it works at a basic level, and see simple PySpark examples through a live demonstration.
Why Should You Know About PySpark?
Data is growing rapidly, and organisations increasingly need tools that can work with large amounts of data. Python is already widely used for data analysis — and PySpark brings Python and Apache Spark together, allowing Python users to work with large datasets.
PySpark in Simple Words
- Apache Spark is a technology used for processing large amounts of data.
- PySpark is the Python interface for Apache Spark.
- It allows Python users to work with data using Spark.
- It is widely used in data engineering, analytics, and Big Data environments.
What You’ll Learn in 90 Minutes
- What is PySpark? Why is it used? Where is it used?
- PySpark vs. Python/Pandas — a basic comparison
- What is Apache Spark?
- Basic idea of distributed processing
- Simple introduction to Spark architecture
- What is a DataFrame? Creating and reading data
- Viewing data and understanding basic schemas
- Select, Filter, Sort, GroupBy, and basic aggregations
- Transformations, Actions, and Lazy Evaluation — explained simply
- See basic PySpark operations performed on a simple dataset
See PySpark in Action
We’ll use a simple sales dataset for the live demonstration, answering questions like:
- How many records are there?
- What are the different regions?
- Which products are being sold?
- What is the total sales amount?
- Which region has the highest sales?
Try a Simple PySpark Challenge
Participants will get a short question based on the demo dataset:
The trainer will solve the problem live and explain the code step-by-step.
Who Should Attend
No prior PySpark experience required. Basic familiarity with Python or SQL is helpful, but the session is designed to be accessible to complete beginners.
What You’ll Take Away
- Understand what PySpark is and why Spark is used
- Understand the basic idea of distributed data processing
- Know what a PySpark DataFrame is
- Be familiar with basic PySpark operations
- Understand transformations and actions at a basic level
- Know where PySpark is used, and have a clear idea of what to learn next
90-Minute Agenda
Meet Your Trainer
Frequently Asked Questions
Curious About PySpark? Start Here.
Get introduced to the fundamentals of PySpark and see how Python can be used for large-scale data processing. 90 Minutes | Beginner Friendly | Live Online