Apache Spark and Databricks for Beginners

Learn big data processing with Apache Spark and master the Databricks platform

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Course Overview

What You'll Learn

  • Apache Spark architecture and components
  • Databricks workspace and notebooks
  • Data processing with Spark SQL
  • Spark DataFrames and Datasets
  • Machine learning with MLlib
  • Stream processing fundamentals
  • Delta Lake for reliable data lakes
  • Performance optimization and monitoring

Course Features

Duration

10 Weeks

Format

Live Online Classes

Certificate

Industry Recognized

Batch Size

Maximum 15 Students

Curriculum

Week 1-2: Foundations

  • Introduction to Big Data and Spark
  • Spark architecture and components
  • Setting up Databricks workspace
  • Working with Databricks notebooks

Week 3-4: Data Processing

  • Spark SQL and DataFrames
  • Data transformation and aggregation
  • Working with different data formats
  • Performance optimization techniques

Week 5-7: Advanced Features

  • Machine learning with MLlib
  • Stream processing basics
  • Delta Lake fundamentals
  • Data quality and testing

Week 8-10: Production & Projects

  • Production deployment patterns
  • Monitoring and optimization
  • Best practices and patterns
  • Capstone project

Industry Projects

Data Analysis Project

Data Analysis Pipeline

Build an end-to-end data analysis pipeline using Spark

ML Project

ML Model Deployment

Deploy machine learning models using MLlib

Streaming Project

Real-time Analytics

Build a real-time analytics dashboard