Virtual Training
Data Science, AI, and Advanced Analytics
Databricks Spark Certification Prep Online Course
Join our virtual, live instructor-led session and master Databricks Spark Certification Prep Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master the Databricks Spark Certification to build scalable data pipelines, optimize Spark performance, and lead Lakehouse initiatives through hands-on PySpark and Spark SQL mastery.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| DBR-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DBR-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DBR-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| DBR-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DBR-01 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| DBR-01 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Spark Architecture and Databricks Lakehouse Fundamentals
2
Spark Core Internals and RDD Foundations
3
Spark SQL and DataFrame API Mastery
4
Data Ingestion and Medallion Architecture Design
5
Delta Lake and ACID Transaction Management
6
Performance Tuning and Query Optimization
7
Structured Streaming for Real-Time Analytics
8
Advanced PySpark and UDF Optimization
9
Data Governance with Unity Catalog
10
Spark MLlib and MLflow Integration
11
Operationalizing Spark in Production
12
Certification Strategy and Final Capstone
Built for Greece
From your market
Real tools and case studies from Greece — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
4-
Databricks Lakehouse DatabricksUsed to build and run Spark-based data engineering workloads, including batch pipelines, SQL analytics, and streaming jobs in a managed environment.
-
Apache Spark Apache Software FoundationUsed for distributed data processing, DataFrame transformations, SQL analytics, and scalable ETL development.
-
Delta Lake DatabricksUsed to add ACID transactions, schema enforcement, and reliable table management for lakehouse data pipelines.
-
Structured Streaming DatabricksUsed to build near-real-time pipelines for continuous ingestion, incremental processing, and streaming analytics.
Where this course runs
Databricks Spark Certification Prep Training is delivered in the cities below — pick the one that fits your schedule.
