Radical Technologies
Data Engineering
★★★★★
(2,095 ratings)  50,000+ Student

DATABRICKS WITH PYSPARK

The Databricks with PySpark course is designed for learners who want to build skills in big data processing, data engineering, and analytics using Databricks and PySpark. The training covers data transformation, distributed computing, ETL pipeline development, Spark architecture, data analysis, and real-world data engineering workflows. Through hands-on exercises and practical projects, students learn how to process large datasets efficiently and build scalable data solutions in cloud environments. As organizations increasingly rely on data-driven decision-making, this course is ideal for data engineers, data analysts, Spark developers, ETL professionals, and anyone looking to advance their career in modern data engineering and analytics.

RT
Radical Technologies
50,000+ English 60 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

DATABRICKS WITH PYSPARK

IT Training Programme

Duration 60 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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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

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

60 hours
Training Duration
19
Core Modules
195
Total Lessons
4.6
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

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

Fundamentals Architecture Setup
02

Hands-On Practical Training

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

Practicals Assignments Labs
03

Real-World Projects

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

Projects Portfolio Case Studies
04

Advanced Techniques

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

Advanced Integration Best Practices
05

Ecosystem Integration

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

Ecosystem Tools Platforms
06

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 Data Engineering 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

19 sections  •  195 lessons  •  60 hours

01 Module 1: Introduction to Big Data & Databricks
Introduction to Big Data
Challenges of Traditional Data Processing
Big Data Ecosystem Overview
Introduction to Apache Spark
What is Databricks?
Databricks Architecture
Lakehouse Architecture
Data Engineering Concepts
Batch vs Real-Time Processing
Distributed Computing Fundamentals
Databricks Workspace Overview
Databricks Use Cases in Industry
02 Module 2: Databricks Environment Setup
Creating Databricks Workspace
Cluster Configuration
Notebook Basics
Workspace Management
Databricks Runtime
Job Scheduling
DBFS (Databricks File System)
Secrets Management Basics
Workspace Security Basics
Cost Optimization Basics
Integration with Cloud Platforms
03 Module 3: Python Fundamentals for PySpark
Python Basics
Variables & Data Types
Operators
Conditional Statements
Loops
Functions
File Handling
Exception Handling
Modules & Packages
Working with JSON & CSV Files
Python Libraries for Data Engineering
04 Module 4: Apache Spark Fundamentals
Introduction to Apache Spark
Spark Architecture
Spark Components
Driver & Executor Concepts
Spark Cluster Managers
RDD Fundamentals
DataFrames Introduction
Datasets Overview
Lazy Evaluation
Transformations & Actions
Spark Execution Workflow
05 Module 5: PySpark DataFrame Operations
Creating DataFrames
Reading CSV, JSON, Parquet Files
Schema Definition
Selecting & Filtering Data
Sorting & Aggregations
GroupBy Operations
Joins in PySpark
Window Functions
User Defined Functions (UDF)
Handling Null Values
Duplicate Removal
DataFrame Optimization Techniques
06 Module 6: Data Processing & Transformation
ETL Concepts
Data Cleansing
Data Validation
Data Transformation Techniques
Data Enrichment
Flattening Nested Data
Complex JSON Processing
Incremental Data Loading
Batch Processing
Data Partitioning
Data Deduplication
07 Module 7: Delta Lake & Lakehouse Architecture
Introduction to Delta Lake
ACID Transactions
Delta Tables
Time Travel Feature
Schema Enforcement
Schema Evolution
Data Versioning
MERGE Operations
OPTIMIZE & VACUUM
Delta Lake Best Practices
Data Lake vs Lakehouse
08 Module 8: Databricks SQL & Analytics
Databricks SQL Basics
SQL Queries in Databricks
Joins & Subqueries
Window Functions
Temporary Views
Materialized Views Basics
Data Visualization
Dashboard Creation
Query Optimization
SQL Analytics Workflows
09 Module 9: Real-Time Streaming with PySpark
Introduction to Spark Streaming
Structured Streaming Concepts
Streaming Architecture
Reading Streaming Data
Kafka Integration Basics
Streaming Transformations
Watermarking Concepts
Window Operations
Streaming Aggregations
Fault Tolerance in Streaming
Real-Time Data Pipelines
10 Module 10: Cloud Integration with Databricks
AWS Integration
S3 Integration
IAM Roles Basics
AWS Data Pipeline Concepts
Azure Integration
Azure Data Lake Storage
Azure Synapse Basics
Azure Databricks
Google Cloud Basics
GCS Integration
BigQuery Integration Basics
11 Module 11: Security & Governance
Databricks Security Basics
Workspace Access Control
Role-Based Access Control
Data Encryption Basics
Secure Cluster Access
Unity Catalog Basics
Data Governance Concepts
Audit Logging
Compliance Basics
12 Module 12: Performance Optimization & Tuning
Spark Optimization Basics
Partitioning Strategies
Caching & Persistence
Broadcast Joins
Shuffle Optimization
Cluster Sizing
Job Performance Monitoring
Memory Management Basics
Spark UI Analysis
Cost Optimization
13 Module 13: Workflow Automation & Orchestration
Databricks Workflows
Job Scheduling
Notebook Automation
CI/CD Basics
Integration with Airflow
Delta Live Tables Basics
Workflow Monitoring
Pipeline Automation
14 Module 14: AI/ML Basics in Databricks
Introduction to MLflow
Machine Learning Workflow
Feature Engineering Basics
Model Tracking
Experiment Management
AI Integration Basics
Generative AI Overview
AI Use Cases in Data Engineering
15 Module 15: Monitoring & Troubleshooting
Cluster Monitoring
Job Failure Analysis
Spark UI Troubleshooting
Streaming Failure Recovery
Log Analysis
Debugging PySpark Jobs
Data Quality Monitoring
Pipeline Health Monitoring
16 Hands-on Labs & Assignments
Databricks Workspace Setup
PySpark Data Processing Labs
Delta Lake Table Creation
ETL Pipeline Development
Kafka Streaming Integration
SQL Analytics Dashboard
Data Cleansing Exercises
Spark Optimization Labs
Cloud Storage Integration
Workflow Automation Tasks
17 Real-Time Projects

Project 1: Retail Sales Data Pipeline

Ingest sales data
Clean & transform data
Build analytics dashboards

Project 2: Real-Time Log Analytics System

Kafka data ingestion
Streaming analytics
Alert generation

Project 3: Healthcare Data Lakehouse

Process patient records
Data quality validation
Delta Lake implementation

Project 4: Banking Fraud Detection Pipeline

Real-time transaction processing
Fraud pattern analysis
Streaming alerts

Project 5: E-Commerce Recommendation Analytics

User behavior analysis
Product recommendation insights
Dashboard visualization
18 Job-Oriented Scenarios
Optimize Slow Spark Jobs
Handle Large Volume Data Processing
Real-Time Streaming Failure Troubleshooting
Delta Lake Data Recovery
Cloud Storage Access Issues
Data Pipeline Failure Analysis
Spark Memory Optimization
Incremental Data Processing Scenarios
Multi-Cloud Databricks Integration
19 Assignments
Build ETL Pipelines
Create Delta Lake Tables
Implement Streaming Workflows
Optimize Spark Jobs
Build SQL Dashboards
Develop Data Validation Frameworks
Automate Databricks Workflows

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

195+
Hands-On Lessons
19
Core Modules
60 hours
Training Duration
100%
Practical Training

You don't just learn DATABRICKS WITH 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
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
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

Like the Curriculum? Let's Get Started

Join 50,000+ students already enrolled at Radical Technologies

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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.

Certificate of Completion

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.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

Get Started

Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.6★
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.6
★★★★★

Course Rating

★★★★★
73%
★★★★☆
19%
★★★☆☆
5%
★★☆☆☆
2%
★☆☆☆☆
1%
The Revit MEP Course in Bengaluru at Radical Technologies was well-structured and highly practical. The hands-on approach helped me gain real-world skills.
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DATABRICKS WITH PYSPARK Interview Questions

10 questions commonly asked in DATABRICKS WITH PYSPARK interviews.

  1. 01 What are the primary benefits of using Revit MEP in Building Information Modeling (BIM) compared to traditional CAD tools?
  2. 02 Can you explain the workflow for designing an HVAC system in Revit MEP, including load calculations and duct placement?
  3. 03 How do you perform clash detection in Revit MEP, and what steps do you take to resolve detected conflicts?
  4. 04 Describe the process of creating custom parametric components (families) in Revit MEP and provide an example of their practical use.
  5. 05 What tools in Revit MEP are used for energy analysis, and how can they help in designing sustainable building systems?
  6. 06 How do you manage collaboration between mechanical, electrical, and plumbing teams within a Revit MEP project?
  7. 07 What are the best practices for optimizing Revit MEP models to ensure smooth performance, especially in large-scale projects?
  8. 08 How would you use Revit MEP to design and analyze fire protection systems, including sprinkler layouts and pipe routing?
  9. 09 What steps would you take to ensure compliance with local building codes and standards when designing electrical systems in Revit MEP?
  10. 10 Can you explain how schedules and material takeoffs are generated in Revit MEP and their significance in project documentation?

Databricks with PySpark Course Certification with Training In Pune

Radical Technologies is the leading institute in Bengaluru for comprehensive Revit MEP Training, offering industry-focused courses to help students and professionals excel in the field of Building Information Modeling (BIM). With a proven track record of delivering top-notch training, we are committed to providing unparalleled learning experiences through expert-led sessions and hands-on projects.

Our Revit MEP Course in Bengaluru is designed to equip learners with practical skills and in-depth knowledge of mechanical, electrical, and plumbing systems. We take pride in being the preferred choice for individuals seeking to advance their careers through our Revit MEP Certification in Bengaluru and placement-focused training programs.

Experienced Trainers: Our instructors are industry experts with years of hands-on experience in Revit MEP and BIM projects.

Real-World Projects: We emphasize project-based learning, ensuring our students gain practical expertise.

Placement Support: Our dedicated placement team connects you with top companies, helping you kickstart or advance your career.

Flexible Learning Options: Whether you prefer classroom sessions or online learning, we have options tailored to your needs.

At Radical Technologies, we are more than just a Revit MEP Institute in Bengaluru; we are your partners in professional growth. Join us today and take the first step towards mastering Revit MEP and excelling in the competitive AEC (Architecture, Engineering, and Construction) industry.

For more information on our Revit MEP Training in Bengaluru, contact us today!

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Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
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GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies
Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies

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