Build practical expertise in Apache PySpark with LearnovaX Technologies. This career-focused training is designed to help you understand how PySpark is used for large-scale data processing, transformation, analytics, and scalable data engineering in modern Big Data environments.
Starting with the fundamentals and progressing to advanced concepts, the course covers Python for PySpark, Spark architecture, RDDs, DataFrames, Spark SQL, data transformation, performance optimization, Structured Streaming, ETL pipelines, and real-time data processing. Through hands-on practice, industry-oriented projects, and expert guidance, you can develop the skills required to work confidently with PySpark and Big Data technologies.
Duration: 60 Days (based on learning depth & pace)
Mode: Online / Offline / Hybrid
Level: Beginner to Advanced
Key Features of the Trainingย
๐น Structured PySpark Learning from Basic to Advanced
๐น Learn Python Programming for Big Data Applications
๐น Understand Apache Spark Architecture & Core Components
๐น Work with RDDs, DataFrames & Spark SQL
๐น Perform Data Cleaning, Transformation & Aggregation
๐น Learn Joins, Window Functions & Advanced Data Operations
๐น Process Large Datasets Using CSV, JSON & Parquet
๐น Explore Structured Streaming & Real-Time Data Processing
๐น Learn Spark Performance Tuning & Optimization Techniques
๐น Build Scalable ETL & Data Engineering Pipelines
๐น Hands-On Practice with Real-World Datasets & Scenarios
๐น Practical Assignments & Industry-Oriented Projects
๐น Free Demo Class Available
๐น Study Materials & Learning Resources
๐น Interview Preparation & Career Guidance
๐น Certificate Support
๐น Placement Assistance