Professional Databricks Training (25–40 Hours) | 1-to-1 Hands-On Databricks Course on Azure & AWS

 

Master the Lakehouse: Professional Databricks & Apache Spark Training Program

In today’s data-driven world, organizations are increasingly adopting Databricks and Apache Spark to build scalable, high-performance data platforms. As enterprises migrate toward Lakehouse architecture, the global demand for skilled professionals in Azure Databricks and AWS Databricks continues to skyrocket.

This Professional Databricks Training Program is a comprehensive, 25–40 hour 1-to-1 instructor-led course. Designed for real-world implementation, it focuses on industry best practices and hands-on labs that prepare you for elite data engineering roles.

🚀 Why Learn Databricks?

Databricks has become the backbone of modern data engineering and machine learning. By mastering the Databricks Lakehouse architecture, you gain expertise in:

• Apache Spark: The gold standard for massive big data processing and distributed computing.

• Delta Lake: Ensuring reliable data management with ACID transactions, time travel, and unified batch/streaming.

• Databricks SQL: Powering high-performance analytics directly on the data lake.

• Cloud Engineering: Hands-on experience with managed services in Azure and AWS environments.

👥 Who Should Enroll?

This program is tailored for professionals looking to modernize their technical stack, including:

• Data Engineers and Big Data Developers looking to master PySpark.

• Data Analysts transitioning into Engineering roles via Databricks SQL.

• Cloud Engineers (Azure/AWS) and ETL professionals modernizing legacy pipelines.

• Software Engineers entering the data domain.

• Freshers aiming for high-growth data careers with a specialized skill set.

• Corporate Teams seeking rapid enablement for enterprise migration projects.

📋 Course Specifications

• Duration: 25–40 Hours of personalized, high-intensity learning.

• Mode: 1-to-1 Instructor-Led Training (Live Sessions).

• Platforms: Azure Databricks, AWS Databricks, and Databricks Community Edition.

• Curriculum: 100% Hands-on labs with flexible scheduling to fit your professional life.

🛠 Comprehensive Course Curriculum & Lab Guide

Module 1: Architecture & Workspace Fundamentals

Core Content:

• Evolution from Data Warehouse to Data Lake to Lakehouse.

• Databricks Runtime, DBFS (Databricks File System), and Control Plane vs. Data Plane.

• Managing Notebooks, Dashboards, and Libraries (PyPI/Maven).

• Lab 1: Setting up a Databricks Workspace, creating a multi-node cluster, and mounting Azure Data Lake Storage (ADLS Gen2) or AWS S3.

Module 2: Apache Spark & PySpark Core

Core Content:

• Spark Distributed Computing: Driver, Worker, and Executor roles.

• Understanding Lazy Evaluation, Transformations (Narrow vs. Wide), and Actions.

• Mastering the Spark DataFrame API for structured data processing.

• Lab 2: Developing a PySpark application to perform complex filtering, grouping, and window functions on large datasets.

Module 3: Data Ingestion & ETL Pipelines

Core Content:

• Reading/Writing data: Parquet, Avro, JSON, CSV, and JDBC.

• Schema Inference vs. Schema Enforcement.

• Handling corrupt records and data quality validation.

• Lab 3: Building an automated ingestion pipeline that cleanses raw landing zone data and converts it into optimized Parquet format.

Module 4: Delta Lake Mastery

Core Content:

• The Bronze-Silver-Gold (Medallion) architecture.

• ACID Transactions on the Lake: INSERT, UPDATE, DELETE, and MERGE.

• Time Travel (Version History) and Vacuuming.

• Lab 4: Implementing a Delta Lake Medallion architecture with "Upsert" logic using the MERGE command to handle Change Data Capture (CDC).

Module 5: Performance Tuning & Optimization

Core Content:

• Shuffling, Partitioning vs. Bucketing.

• Data Skipping, Z-Ordering, and File Compaction (OPTIMIZE).

• Caching strategies and Broadcast Joins.

• Lab 5: Profiling a slow Spark job using the Spark UI and applying Z-Ordering to reduce query execution time by 50%.

Module 6: Databricks SQL & Analytics

Core Content:

• Building SQL Warehouses (Pro and Classic).

• Creating Visualizations and AI-powered Dashboards.

• Performance tuning with Query Profile.

• Lab 6: Developing an executive dashboard using Databricks SQL that queries Silver and Gold Delta tables in real-time.

Module 7: Workflows & Production Orchestration

Core Content:

• Databricks Workflows: Task orchestration and dependencies.

• Job scheduling, multi-task jobs, and error notifications.

• Parameter passing between notebook tasks.

• Lab 7: Deploying a multi-step production workflow that triggers on file arrival and includes automated retries on failure.

Module 8: Security, Governance & Unity Catalog

Core Content:

• Identity management: Users, Groups, and Service Principals.

• Secret Scopes for managing API keys and passwords.

• Introduction to Unity Catalog for centralized governance.

• Lab 8: Configuring Secret Scopes and managing table-level permissions using SQL Grant statements.

🎯 Career Outcomes

Upon completion of this training, you will be equipped to:

1. Build scalable, production-grade data pipelines using Medallion architecture.

2. Implement Delta Lake for reliable, high-speed storage with ACID compliance.

3. Optimize Spark jobs for maximum performance and significant cloud cost-efficiency.

4. Architect modern Lakehouse solutions that unify BI and AI.

5. Ace technical interviews for Senior Data Engineer and Databricks Solutions Architect positions.

❓ Frequently Asked Questions

Is Databricks beginner-friendly? Yes. While SQL or Python knowledge is helpful, our structured 1-to-1 guidance starts from the basics and scales to advanced engineering.

Azure vs. AWS Databricks: Which should I choose? We cover both. The core Spark and Delta logic is identical; we teach you the specific cloud integrations for both ecosystems to make you cloud-agnostic.

Does this include a certification path? Yes, the course content is specifically aligned with the "Databricks Certified Data Engineer Associate" and "Professional" exam requirements.

✨ Start Your Journey with Eduarn.com

This professional training is delivered through Eduarn.com, a premier online learning platform for modern technologies.

Why Choose Eduarn?

• Personalized Learning: 1-to-1 sessions tailored to your pace.

• LMS Access: Lifetime access to our Learning Management System and recorded sessions.

• Industry Aligned: Curriculum updated for the latest Spark 3.x and Delta 3.x releases.

👉 Visit eduarn.com to explore free courses, access our LMS, and enroll in professional training today.