“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Role-Based Certification PrepTrack: Databricks Academy learning planOfficial Source: Databricks
DatabricksAdvanced
Optimizing Apache Spark
For those familiar with Apache Spark programming, this is the best data engineering course to learn how to mitigate bottlenecks with the Spark UI. This course explores five major performance problems for Apache Spark applications in production: Skew, Spill, Shuffle, Storage and Serialization. We’ll work with 1 TB+ data sets to diagnose these issues and discuss mitigation strategies. We’ll also explore optimization techniques for data ingestion, including managing Spark-partition sizes, disk-partitioning, bucketing, Z-Ordering and more. Students can also expect the course to cover performance c
Duration
1 to 2 days
Level
Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Databricks
Apache SparkDB
Optimizing Apache Spark
Databricks Data Intelligence Platform
DBX
On this page
Ideal for
Data EngineerApache SparkCertification ReadinessTailored Team Delivery
Audience Profile
Built for these roles
Built for Data Engineer learners adopting Optimizing Apache Spark.
Overview
Executive overview
Databricks Academy-aligned program for Optimizing Apache Spark.
Readiness
Prerequisites
- Relevant foundational experience in the target technology area.
- Comfort with hands-on labs in a cloud or GPU-accelerated environment.
Program Outcomes
Capabilities your teams will gain
Strengthen capability in apache spark scenarios
Strengthen capability in databricks data intelligence platform scenarios
Curriculum
Curriculum roadmap
1
Apache Spark
2
Databricks Data Intelligence Platform
1Module 1
Apache Spark
+
Module 1
Apache Spark
Cover apache spark skills and implementation practices aligned to Optimizing Apache Spark.
- Cover apache spark skills
- implementation practices aligned to Optimizing Apache Spark
2Module 2
Databricks Data Intelligence Platform
+
Module 2
Databricks Data Intelligence Platform
Cover databricks data intelligence platform skills and implementation practices aligned to Optimizing Apache Spark.
- Cover databricks data intelligence platform skills
- implementation practices aligned to Optimizing Apache Spark
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Certification readinessImplementation-focused labsPrivate cohort deliveryAdvanced practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Develops Databricks lakehouse delivery capability for apache spark teams through official Academy-aligned training.
- •Align labs to your production environment and platform priorities
- •Add readiness reviews and instructor-led practice sessions
- •Extend into project-specific architecture or delivery coaching
Credentials
Certification & official source
- •Databricks Academy learning plan
Aligned to the official Databricks training catalog and certification guidance for this program.
View Databricks Training SourceResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios