Apache Spark & PySpark for Big Data
Accelerate your Big Data career with hands-on Apache Spark and PySpark training powered by real-time projects.
Course Overview
This course focuses on using Apache Spark and PySpark to handle big data processing, transformation, and analytics. Ideal for data engineers, analysts, and developers looking to work with large-scale datasets in a distributed computing environment.
What You'll Learn
- Introduction to Apache Spark and Spark architecture
- Working with RDDs and DataFrames
- Advanced transformations and actions in Spark
- Spark SQL and DataFrame operations
- PySpark programming using Python
- Integration with Hadoop HDFS, Hive, and HBase
- Real-time data processing with Spark Streaming
- MLlib basics for machine learning with Spark
Who Should Attend?
- Software & Big Data Engineers
- Python Developers interested in Data Engineering
- ETL & BI Professionals
- Freshers with Python/Java background
Key Features
- Instructor-Led Live Training
- 100% Placement Support
- Real-time Industry Projects
- Flexible Batch Timings (Online & Classroom)
- Access to Learning Materials & Case Studies