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 Costa Rica
From your market
Real tools and case studies from Costa Rica — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
6-
Databricks DatabricksUsed to build and run Spark-based data engineering workloads on a managed lakehouse platform, including notebooks, jobs, SQL, Delta Lake, and streaming pipelines.
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Apache Spark Apache Software FoundationUsed for distributed processing of large datasets, DataFrame and SQL transformations, and scalable batch and streaming analytics.
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Delta Lake DatabricksUsed to support ACID transactions, schema enforcement, and reliable lakehouse table management for analytics and pipelines.
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Databricks SQL DatabricksUsed for interactive analytics, query tuning, and business-facing reporting on lakehouse data.
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Structured Streaming Apache SparkUsed for near-real-time ingestion and processing of event streams and operational data feeds.
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Databricks Workspace DatabricksUsed as the development environment where teams create notebooks, run experiments, and collaborate on Spark workloads.
Where this course runs
Databricks Spark Certification Prep Training is delivered in the cities below — pick the one that fits your schedule.
