“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
VNode ITeSIntermediate
Azure Data Engineering with Databricks
A hands-on data engineering program covering end-to-end pipeline development on Azure, from raw ingestion through transformation to serving. Participants work with Apache Spark, Delta Lake, and Azure Data Factory under real pipeline design constraints, not simplified examples.
Duration
5 days
Level
Intermediate
Format
Virtual or On-site
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
DBX
DB
On this page
Ideal for
Tailored Team DeliveryImplementation-Focused
Audience Profile
Built for these roles
Data engineers and architects building or modernizing data platforms on Azure
Overview
Executive overview
Build scalable data pipelines using Azure Databricks, Delta Lake, and Apache Spark. Covers medallion architecture and ADF integration.
Readiness
Prerequisites
- SQL proficiency
- Basic Python or Scala
- Familiarity with cloud storage concepts
Program Outcomes
Capabilities your teams will gain
Design and build Bronze-Silver-Gold medallion pipelines
Use ADF orchestration with Databricks compute
Implement data quality checks and lineage tracking
Optimize Spark jobs for cost and performance at scale
Curriculum
Curriculum roadmap
1
Delta Lake and medallion architecture design
2
Apache Spark optimization and performance tuning
3
Azure Data Factory orchestration with Databricks
4
Data quality and Unity Catalog governance
1Module 1
Delta Lake and Medallion Architecture
+
Module 1
Delta Lake and Medallion Architecture
Design and implement Bronze-Silver-Gold pipeline patterns using Delta Lake, schema management, and incremental processing for scalable data platforms.
- implement Bronze-Silver-Gold pipeline patterns using Delta Lake
- schema management
- and incremental processing for scalable data platforms
2Module 2
Apache Spark Optimization
+
Module 2
Apache Spark Optimization
Write and tune Spark jobs for cost-efficient processing at enterprise scale, covering partitioning, caching, and cluster configuration.
- tune Spark jobs for cost-efficient processing at enterprise scale
- covering partitioning
- and cluster configuration
3Module 3
Azure Data Factory Orchestration
+
Module 3
Azure Data Factory Orchestration
Build ADF-triggered pipeline workflows that invoke Databricks compute, monitor job runs, and handle failures with retry and alerting logic.
- Build ADF-triggered pipeline workflows that invoke Databricks compute
- monitor job runs
- and handle failures with retry
- alerting logic
4Module 4
Data Quality and Unity Catalog
+
Module 4
Data Quality and Unity Catalog
Implement data quality checks, lineage tracking, and catalog-level governance using Databricks Unity Catalog for enterprise data reliability.
- Implement data quality checks
- lineage tracking
- and catalog-level governance using Databricks Unity Catalog for enterprise data reliability
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Implementation-focused labsPrivate cohort deliveryIntermediate practitioner depthBusiness outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Prepares data teams to design and deliver scalable, production-grade pipelines using the Azure Databricks ecosystem, reducing rework during platform rollout.
- •Align dataset and schema to team's existing sources
- •Include Unity Catalog configuration and access control
- •Add structured streaming module (Event Hubs or Kafka)
Resources
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
