BIGDATA

★★★★★

(2,095 ratings) 50,000+ Student

APACHE PYSPARK

The Apache PySpark Syllabus focuses on big data processing using Python with the Apache Spark framework. It covers distributed data processing, data transformations, Spark SQL, DataFrames, performance optimization, and real-time data handling. This training explains how PySpark enables fast and scalable data processing across large datasets. It is important because organizations rely on big data analytics for insights, decision-making, and data-driven strategies. It is ideal for data engineers, data analysts, data scientists, and IT professionals who want to work with large-scale data processing and analytics systems. Level: Beginner → Advanced 🎯 Focus: Big Data Processing | Data Engineering | ETL | Real-Time Analytics

Radical Technologies

50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

APACHE PYSPARK

IT Training Programme

Duration 40 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

14 sections covering the complete curriculum — a single, progressive learning arc.

40 hours

Training Duration

Core Modules

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a BIGDATA role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

14 sections • 95 lessons • 40 hours

Jump to Section

Total Duration

40 hours

100% Practical · Unlimited Doubt Sessions

01 Module 1: Big Data & Pyspark Fundamentals

Duration: 4 Hours

Topics:

• Big Data concepts (Volume, Velocity, Variety)

• Hadoop Ecosystem overview

• What is Apache Spark?

• Spark vs Hadoop (MapReduce)

• Spark Architecture (Driver, Executor, Cluster Manager)

• Introduction to PySpark

🧪 Assignments:

›• Install Spark (Local Mode)
›• Run first PySpark program

🚀 Mini Task:

👉 Word count using PySpark

02 Module 2: Rdd (resilient Distributed Dataset)

Duration: 6 Hours

Topics:

• RDD basics

• Transformations vs Actions

• Lazy evaluation

• RDD operations (map, filter, reduce, flatMap)

• Persistence & caching

🧪 Assignments:

›• Perform transformations on dataset
›• Count words from large log file

🚀 Mini Project:

👉 Log processing using RDD

03 Module 3: Dataframes & Spark Sql

Duration: 8 Hours

Topics:

• DataFrames vs RDD

• Schema & Data Types

• Spark SQL

• Reading data (CSV, JSON, Parquet)

• Writing data to storage

🧪 Assignments:

›• Load CSV and perform transformations
›• Convert RDD to DataFrame

🚀 Project:

👉 Sales data analysis using DataFrames

04 Module 4: Data Processing & Transformations

Duration: 6 Hours

Topics:

• Filtering, grouping, aggregation

• Joins (inner, outer, left, right)

• Window functions

• Handling null values

🧪 Assignments:

›• Perform joins on multiple datasets
›• Aggregate large dataset

🚀 Mini Project:

👉 Customer analytics system

05 Module 5: Pyspark With Files & Storage Systems

Duration: 5 Hours

Topics:

• HDFS basics

• Working with S3 / Azure Data Lake

• File formats (Parquet, ORC, Avro)

• Partitioning & bucketing

🧪 Assignments:

›• Read/write data from S3
›• Convert CSV to Parquet

💼 Scenario:

›👉 Optimize storage for large-scale data processing

06 Module 6: Performance Tuning In Pyspark

Duration: 5 Hours

Topics:

• Partitioning strategies

• Caching & persistence

• Broadcast joins

• Catalyst optimizer

• Shuffle operations

🧪 Assignments:

›• Optimize slow queries
›• Reduce shuffle operations

💼 Scenario:

›👉 Improve job performance for large dataset

07 Module 7: Pyspark With AWS/ Azure

Duration: 5 Hours

Topics:

• Running PySpark on AWS EMR / Databricks

• Azure Databricks basics

• Cluster setup

🧪 Assignments:

›• Run PySpark job on cloud cluster
›• Load data from cloud storage

🚀 Project:

👉 Cloud-based ETL pipeline

08 Module 8: Pyspark Streaming (real-time Data)

Duration: 5 Hours

Topics:

• Structured Streaming

• Streaming sources (Kafka basics)

• Window operations in streaming

• Real-time data processing

🧪 Assignments:

›• Process streaming data
›• Perform real-time aggregation

🚀 Project:

👉 Real-time log monitoring system

09 Module 9: Pyspark With Etl Pipelines

Duration: 4 Hours

Topics:

• ETL pipeline design

• Data cleaning & transformation

• Scheduling jobs (Airflow basics optional)

🧪 Assignments:

›• Build ETL pipeline

💼 Scenario:

›👉 Daily batch processing system

10 Module 10: Debugging & Troubleshooting

Duration: 3 Hours

Topics:

• Debugging Spark jobs

• Handling failures

• Log analysis

🧪 Assignments:

›• Fix failed Spark job

💼 Scenario:

›👉 Production job failure handling

11 🔥 Final Capstone Projects

🥇 Project 1: E-Commerce Data Pipeline

• Process sales data

• Generate insights

• Store in data warehouse

🥈 Project 2: Real-Time Log Analytics

• Stream logs using Kafka

• Analyze using PySpark

🥉 Project 3: Cloud ETL Pipeline

• Extract data from S3

• Transform using PySpark

• Load into target system

🏅 Project 4: Customer Recommendation Engine

• Analyze user behavior

• Generate recommendations

12 💼 Real-time Job Scenarios

• Handling TB-level data processing

• Optimizing slow Spark jobs

• Debugging failed ETL pipelines

• Designing scalable data pipelines

• Managing cloud-based big data workloads

13 📁 Deliverables

• ✅ 4+ real-time projects

• ✅ ETL pipelines

• ✅ Performance tuning scripts

• ✅ Resume-ready use cases

14 🎯 Outcome

After this training, candidates can:

• Work as Data Engineer / Big Data Engineer

• Build scalable ETL pipelines

• Handle real-time streaming data

• Optimize Spark jobs

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

95+

Hands-On Lessons

Core Modules

40 hours

Training Duration

100%

Practical Training

You don't just learn APACHE PYSPARK. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.