Apache Spark Programming with Databricks

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Course Overview

Struggling to scale your data workflows? Organizations across industries use Apache Spark Programming with Databricks to unlock fast, scalable, and intelligent data pipelines. This hands-on training course teaches you how to build real-time analytics solutions using Apache Spark, Delta Lake, and the Databricks environment. You’ll learn to query massive datasets, handle streaming data, and explore the fundamentals of Apache Spark architecture. This course also prepares you for the Databricks Certified Associate Developer for Apache Spark exam—helping you validate your knowledge and advance your data engineering career.

Course Objectives

    By the end of the Apache Spark Programming with Databricks course, you’ll have the practical skills to design, develop, and scale production-grade data pipelines using Apache Spark and Databricks. You’ll gain fluency with Spark DataFrame and Structured Streaming APIs, write queries to transform and analyze data, and implement Delta Lake on Databricks to ensure reliable, high-performance pipelines. Through immersive labs in a live environment, you’ll explore key Spark components and functions, execute scalable workflows, and prepare for certification with confidence.

Course Outline

  • Introduction to Apache Spark and Databricks

    • Explore Spark’s distributed computing model
    • Navigate the Databricks workspace and notebook environment
    • Understand Spark architecture and core components

  • Working with DataFrames and SQL

    • Read, transform, and join structured data
    • Use Spark SQL and Spark functions to execute queries
    • Handle variables, functions, and complex types

  • User-Defined Functions and Optimization

    • Create and register UDFs in Python
    • Optimize performance with partitioning and Catalyst
    • Validate data transformations using labs

  • Structured Streaming and Delta Lake

    • Build real-time pipelines with Structured Streaming
    • Implement Delta Lake on Databricks for reliability
    • Ensure schema enforcement and manage streaming data

  • Certification and Exam Readiness

    • Prepare for the Spark Developer exam using Databricks Academy content
    • Reinforce your learning with guided labs and examples
    • Understand completion requirements and validate your skills

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Class Dates & Times

Class times are listed Eastern time

This is a 2-day class

Price: $1,500.00

Class dates not listed.
Please contact us for available dates and times.