“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Data Warehousing with Databricks
This program focuses on delivering warehouse-style analytics on Databricks. Teams learn how to design serving layers, model data for reporting and BI use cases, improve SQL and warehouse performance, and support governed analytics delivery through Databricks SQL and AI/BI capabilities.
Duration
2 days
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Databricks
Data WarehousingServing layers, dimensional models, AI/BI
Databricks SQL
On this page
Ideal for
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Data Warehousing with Databricks as an MCT-led Databricks program for Data Analyst / Analytics Engineer. Typical duration is 2 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to the official exam outline without turning the week into a dump of Learn modules. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
Built for teams that need warehouse-style analytics delivery on Databricks without falling back to legacy platform assumptions.
Overview
Executive overview
Databricks warehousing program focused on SQL warehouse usage, serving-layer design, performance, dimensional modeling, and AI/BI delivery patterns.
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 data warehousing scenarios
Strengthen capability in databricks data intelligence platform scenarios
Curriculum
Curriculum roadmap
Data Warehousing
Databricks Data Intelligence Platform
1Module 1
Data Warehousing
+
Module 1
Data Warehousing
Cover data warehousing skills and implementation practices aligned to Data Warehousing with Databricks.
- Cover data warehousing skills
- implementation practices aligned to Data Warehousing with Databricks
2Module 2
Databricks Data Intelligence Platform
+
Module 2
Databricks Data Intelligence Platform
Cover databricks data intelligence platform skills and implementation practices aligned to Data Warehousing with Databricks.
- Cover databricks data intelligence platform skills
- implementation practices aligned to Data Warehousing with Databricks
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Helps analytics teams build stronger warehouse-style delivery on Databricks with better modeling, performance, governance, and BI consumption design.
- •Map the workshop to your reporting and semantic-model requirements
- •Add dashboard modernization and BI migration patterns
- •Extend into governance, cost control, and workload-isolation decisions for Databricks SQL
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
