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 Taiwan, Province of China
From your market
Real tools and case studies from Taiwan, Province of China — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
5-
Databricks DatabricksTeams use it for building and operating Spark-based data pipelines, notebooks, and structured streaming workloads in the Lakehouse environment.
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Apache Spark Apache Software FoundationIt is used for distributed data processing, Spark SQL, and streaming analytics in engineering and analytics workflows.
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Delta Lake DatabricksIt is used to add ACID transaction support, schema enforcement, and reliable batch and streaming data storage.
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Structured Streaming Apache SparkIt is used to build near-real-time pipelines for ingestion, enrichment, and continuous analytics.
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Databricks SQL DatabricksIt is used for query development, dashboarding, and performance-tuned analytics on Lakehouse data.
Where this course runs
Databricks Spark Certification Prep Training is delivered in the cities below — pick the one that fits your schedule.
