“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Analytics Fundamentals
A one-hour grounding course in the Databricks Analytics Engineer pathway. Learn how analytics works on Databricks: unified semantics, AI/BI Dashboards, and Genie.
Official Source: DatabricksDatabricksBeginner
Download Program Brief (PDF)Program Snapshot
Engagement scoped to cohort
Duration1 hour
FormatSelf-paced or instructor-led
LevelBeginner
SubjectAnalytics
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Analytics Fundamentals as an MCT-led Databricks program for Analytics Engineer. Typical duration is 1 hour (Self-paced or instructor-led). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
SQL practitioners starting the Databricks Analytics Engineer pathway.
- Analytics Engineer
- Analytics
- Tailored Team Delivery
- Implementation-Focused
Overview
Executive overview
Learn how analytics works on Databricks: unified semantics, AI/BI Dashboards, and Genie.
Prerequisites
- Comfort working with SQL.
Program Outcomes
Capabilities your teams will gain
- Explain unified semantics on Databricks
- Use AI/BI Dashboards
- Use Genie as part of analytics on the lakehouse
Enterprise Delivery
Official learning & delivery options
Review the vendor learning resource, then book a consultation or request a private cohort for your team.
Curriculum
Curriculum roadmap
- Unified semantics
- AI/BI Dashboards
- Genie
1Module 1
Unified semantics
+
Module 1
Unified semantics
Learn how analytics works on Databricks through unified semantics.
- Unified semantics
- AI/BI Dashboards
2Module 2
AI/BI Dashboards
+
Module 2
AI/BI Dashboards
Learn how AI/BI Dashboards fit analytics on Databricks.
- Genie
3Module 3
Genie
+
Module 3
Genie
Learn how Genie fits analytics on Databricks.
- Genie
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
- Implementation-focused labs
- Private cohort delivery
- Beginner practitioner depth
- Business outcome alignment
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Gives SQL practitioners a shared starting point for analytics on Databricks before modeling, pipelines, and metrics.
- Align examples to your warehouse and dashboard standards
Credentials
Certification & official source
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.”
Banking & Finance
Representative Enterprise Banking Team
The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.
- Clearer platform operating model across teams
- Improved confidence in modern data stack adoption
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
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