Introduction to the Course

Become a certified Databricks expert. This training provides the skills to leverage the Databricks Lakehouse Platform for building scalable data pipelines, data engineering tasks, and modern ELT processes.

Course Description

The Databricks Lakehouse Platform unifies data warehousing and data science, becoming central to modern data engineering workflows. This course prepares you for the Databricks Certified Data Engineer Associate/Professional exams by focusing on Apache Spark SQL and Python for ETL/ELT tasks, Delta Lake, and production pipelines. Through hands-on projects, you will gain job-ready skills in data ingestion, processing, and governance, accelerating your career growth in the Databricks ecosystem.

Course Content

The curriculum covers key areas assessed in the official Databricks Data Engineer certifications:

• Databricks Lakehouse Platform Fundamentals:
  • Databricks workspace and architecture
  • Understanding Delta Lake, Spark, and the Lakehouse concept
• ETL with Spark SQL and Python:
  • Data ingestion and transformation techniques
  • Building multi-hop architecture ETL pipelines
  • Apache Spark programming fundamentals (PySpark)
• Incremental Data Processing:
  • Understanding streaming data and real-time processing
  • Implementing incremental data pipelines
  • Delta Live Tables (DLT) overview
• Production Pipelines and Orchestration:
  • Databricks Workflows and Jobs
  • Scheduling and monitoring data pipelines
  • CI/CD for data applications
• Data Governance and Security:
  • Data governance best practices
  • Implementing permissions and security controls
  • Data cataloging and lineage

Why Choose Artiset and Our Training Methodology

• Certified Instructors: Our trainers are Databricks-certified professionals with proven expertise in Databricks implementations.
• Project-Based Learning: We focus on hands-on projects and real-world scenarios, preparing you for the practical challenges of data engineering.
• Career-Focused Training: We provide targeted training and mentorship to help you secure industry-recognized certifications and unlock new opportunities in in-demand skills.

Benefits at the End of the Course

Upon completion, you will be able to:

• Master the core concepts of the Databricks Lakehouse Platform.
• Efficiently process and transform large datasets using Apache Spark SQL and Python.
• Design and implement robust data pipelines, including incremental and production-ready workflows.
• Prepare for the Databricks Certified Data Engineer Associate and Professional exams.
• Apply data governance and security best practices within the Databricks environment

About the Trainer

Trainer is a certified Databricks Data Engineer and a seasoned expert in large-scale data engineering and analytics. With 15+ years of experience working with Apache Spark and Delta Lake, Trainer has successfully implemented complex data pipelines and lakehouse architectures.