Spark Data Engineering

Powering Big Data with Speed and Simplicity

Unlock the full potential of Apache Spark — the powerhouse of big data processing. Learn to build scalable, high-performance data pipelines using RDDs, DataFrames, Spark SQL, and Streaming, all through hands-on, real-world projects.

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Our Personalized Course Curriculum

Module 1: Introduction to Big Data & Apache Spark

What is Big Data and Why Spark?
Spark Architecture & Components
Differences between Spark and Hadoop
Setting up Spark Environment

Module 2: Core Concepts of Spark (RDDs)

Introduction to RDDs (Resilient Distributed Datasets)
Transformations and Actions
Lazy Evaluation and Persistence
Working with Pair RDDs

Module 3:Module 3: DataFrames and Spark SQL Hadoop Ecosystem

Introduction to DataFrames
Working with Structured Data
Using Spark SQL for Data Processing
DataFrame vs RDD

Module 4: Spark Streaming

Introduction to Real-time Processing
DStreams vs Structured Streaming
Kafka Integration with Spark
Real-time Use Case Project

Module 5: Spark with Hive and HDFS

Reading & Writing Data from HDFS
Integrating Spark with Hive Metastore
Partitioning and Bucketing in Hive with Spark
Query Optimization Techniques

Module 6: Performance Tuning & Debugging

Spark Configuration Parameters
Partitioning and Parallelism
Caching & Persistence
Handling Skewed Data & Shuffle Optimizations

Module 7: End-to-End Project

Building a Scalable ETL Pipeline Using Spark
Handling Real-World Datasets
Data Cleansing, Transformation, Aggregation
Deployment & Final Demo

Module 8: Resume, Mock Interviews & Placement Prep

Crafting Spark-focused Resumes
Interview FAQs & Best Practices
Mock Interview Sessions
Placement Guidance & Referrals

Spark is the industry standard for fast, scalable big data processing
In-demand skill across companies dealing with large datasets
Supports batch, interactive, and real-time workloads
Spark knowledge opens doors to roles in data engineering, analytics, and AI
High performance and versatility make Spark a must-have skill in modern data stacks

Beginners looking to step into big data roles
ETL/SQL developers wanting to learn distributed processing
Hadoop developers transitioning to Spark-based systems
Data analysts and scientists exploring big data tools
Professionals aiming for data engineering roles in top companies

Understand Spark’s architecture and execution engine
Master core components like RDDs, DataFrames, and Spark SQL
Implement real-time data pipelines using Spark Streaming
Optimize and tune Spark jobs for performance
Work on live projects to gain practical, job-ready experience

Live instructor-led Spark training with interactive whiteboard sessions
Lifetime access to session recordings
Real-time doubt resolution and one-on-one mentorship
Hands-on projects with real-world datasets
Resume building & mock interview prep
Course completion certificate
Ongoing placement support until you’re hired

Real Feedback Real Results

"The live sessions are interactive and easy to follow. The mentors explain everything with great clarity"

Tyler Morgan

"I switched from a non-tech background to a data role. The hands-on support made all the difference."

Tyler Morgan

"The one-on-one mentorship helped me clear all doubts. The guidance was personal and consistent."

Tyler Morgan

"Great course structure and recorded classes. I could revise anytime, which helped me stay on track."

Tyler Morgan

"Coding practice was intense and helpful. The 600+ exercises truly made me ready for real interviews."

Tyler Morgan

"Karthik sir is very supportive. He always makes sure no student is left behind, even during tough topics."

Tyler Morgan

"From resume tips to mock interviews, the placement support is solid. I got placed within a few months."

Tyler Morgan

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Powering Big Data with Speed and Simplicity