Apache Spark Programming with Databricks

Price
$1,500.00 USD

Duration
2 Days

Delivery Methods
Virtual Instructor Led
Private Group

Request More Information

Download Course Details

Course Details Only
Course Details & Schedule

Skip to Class Dates

Apache Spark Databricks 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.

Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

What is Apache Spark Programming with Databricks?

This is a hands-on training course that teaches you how to build data pipelines using Apache Spark, Delta Lake, and the Databricks platform. You’ll learn to write Spark queries, manage streaming data, and apply best practices in a collaborative environment.

Why is this course worth it for data engineers?

If you're a data engineer looking to scale your data workflows, this course offers real-world tools, labs, and techniques to improve your pipeline performance. It also prepares you for the Databricks Certified Associate Developer for Apache Spark certification.

Does this course prepare me for the Databricks Certified Associate Developer for Apache Spark certification?

Yes. The course content aligns closely with the exam objectives and provides practical knowledge on Spark APIs, Delta Lake, and data transformations—all delivered in a live Databricks Academy-style environment.

What hands-on tools will I use in this training?

You'll use the Databricks unified analytics platform, Spark APIs, Delta Lake, and Structured Streaming—all accessed through a collaborative notebook-based environment.

How will this course help me build real-time data pipelines?

You’ll use Structured Streaming and Delta Lake on Databricks to ingest and transform streaming data, helping you develop scalable solutions for real-time dashboards, alerts, and operational insights.

Course Prerequisites

Completion of Introduction to Python for Data Science & Data Engineering, OR familiarity with Python and basic programming concepts, including data types, lists, dictionaries, variables, functions, loops, conditional statements, exception handling, accessing classes, and using third-party libraries
Basic knowledge of SQL, including writing queries using SELECT, WHERE, GROUP BY, ORDER BY, LIMIT, and JOIN

Agenda

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

Get in touch to schedule training for your team
We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.