Enter your search text in the box above

Select a result to preview

Enterprise-Grade Migration to Microsoft Fabric: Modernizing Lakehouses, Pipelines, Analytics & AI

#fabcon2026 #session #learning #microsoft #fabcon2026-session

Description

Microsoft Fabric is rapidly becoming the unified platform of choice for enterprises seeking to modernize data engineering, analytics, and AI. But migration from Synapse, ADF, Snowflake, Databricks, and on-prem systems requires more than a lift-and-shift.

Key Takeaways

My Notes

Action Items

Slides

📥 Download Slides

Enterprise-Grade Migration
to Microsoft Fabric
Microsoft
Fabric
Modernizing Lakehouses, Pipelines, Analytics & AI
YASH Technologies × Vita Coco
Presenters: YASH Technologies | Vita Coco
Session Duration: 60 Minutes | Fabric Community Conference 2026
Session Agenda
Welcome & Speaker Introductions
Vita Coco + Microsoft + YASH Technologies session overview
Modernization Is a Platform Decision
Vita Coco's Platform Evaluation Journey
Fabric Architecture Deep Dive
Vita Coco Modernization Story
AI & Future Roadmap
Q&A
About YASH
About YASH:
As a Microsoft Fabric Featured Partner and Analytics on Microsoft Azure Specialization holder, YASH Technologies delivers proven outcomes with 30+ Fabric
implementations and 100+ cloud data platforms deployed. Our accelerators and AI-powered Data Agents drive up to 90% governance automation, 70% growth in
self-service analytics, and 60% improvements in data integration accuracy—helping enterprises become truly AI-ready, faster.
What We’re Showcasing @ Booth 637
• Data Readiness Assessment for AI
Raffle:
Rapid evaluation to identify gaps and define actionable steps to become
AI-ready.
Win an
Apple Watch or AirPods
• AI-Powered Data Agents
Automated ingestion, data quality checks, alerts, and workflows inside
Microsoft Fabric.
Visit
Booth 637,
• Governance Accelerator for Fabric + Purview
engage with our demos,
and enter our quick raffle draw
for a chance to win
exciting prizes.
Automated glossary creation, sensitivity labeling, and metadata ingestion
for systems like QAD and Oracle Fusion.
• Fabric Lakehouse Architecture Review (Complimentary)
Expert guidance on scalability, cost optimization, governance, and AI
enablement.
Meet Today’s Speakers
Tyler Stemm
Lalit Goyal
Prashant Atri
Manager, Data Engineering
& Analytics
Vita Coco
Director, Data &
Analytics Services
YASH Technologies
Principal Architect
Microsoft
Modernization Is a Platform Decision
Enterprise Modernization
≠ ETL rewrite
It's a complete rethink of how your organisation
collects, governs, understands, and acts on data.
LAYER 1
Business Strategy
→
LAYER 2
Intelligent Execution
Enterprise Data Platform: Spectrum of actions
Data Ingestion &
Integration
Not just ETL batch jobs
Architecture &
Storage
Not just a bigger data warehouse
Reporting & BI
Modernization
Not just new dashboards
Real-time CDC & streaming pipelines
Medallion: Bronze → Silver → Gold
Self-service Power BI + TM1/Cognos
coexistence
SQL Mirroring / no-move replication
Lakehouse + OneLake as single source of truth
Direct Lake — no import, zero latency
Multi-source: SAP, CRM, files, APIs
Compute/storage separation & versioning
Governed semantic models for business users
Data Governance &
Trust
Not a bolt-on compliance layer
AI & Analytics
Readiness
Not a future phase — built in from day one
Operational Resilience
& DevOps
Not fragile, manual pipelines
End-to-end lineage: source system to report
Governed Gold layer = Copilot-ready
Self-healing pipelines with auto-retry logic
Unified catalog via Microsoft Purview
Fabric AI Skills, ML notebooks & forecasting
Azure DevOps CI/CD & full Git versioning
Row-level security & audit trails built-in
Natural language querying in Power BI
Centralised monitoring, SLA alerting & lineage
Understand before you build
Assess the landscape → Decide how to move → Validate before you commit
ASSESS
Know What
You Have
Map lineage & dependencies from source systems
Build the Business impact heatmap — which
workloads drive decisions vs. are orphaned
→
DEFINE STRATEGY
Decide
How to Move
BUILD AN MVP
Prove It
Before You Scale
Apply the framework
Pick the highest-value workload — prove a difficult
case first
Define strategy from usage patterns & complexity
Validate connectivity, Integration, gateway latency
benchmarks
→
Pain points quantified: runtime, failure rates,
manual hours, latency
Platform selection driven by need, data and pain
points, not preference
Migrate one full pipeline end-to-end: Bronze →
Silver → Gold + Reporting Layer
Complexity score : data volume, transformation
logic, criticality
Prioritised migration wave plan generated with
effort estimates
Data reconciliation between old and new system
AI Readiness audit
TCO modelling + cost simulation
Go / No-Go gate before full programme investment
Intelligent Execution Phases
Sense &
Understand
Design &
Architect
Build &
Accelerate
Validate &
Certify
Deploy &
Evolve
AI auto-maps data lineage &
dependencies
Medallion architecture
shaped from source schema
SSIS → Fabric notebook autotranslation
Test cases auto-generated
from business rules
Self-healing pipelines autoretry on failure
Business impact heatmap
from usage patterns
CDC strategy by AI changefrequency analysis
SQL → PySpark conversion by
Copilot
Row & aggregate data
reconciliation
Copilot natural language
analytics day one
Pain points quantified with
benchmarks
Security & governance
blueprint generated
CDC pipelines scaffolded from
data frequency
Anomaly detection before
cutover
Continuous drift & quality
monitoring
Complexity score per
workload
IaC templates for Fabric
workspaces
Self-documenting pipelines
with AI lineage
Predictive cutover risk scoring
AI-suggested optimisations
from usage
Vita Coco: the Customer Perspective
The Vita Coco Company
As a Public Benefit Corporation and
a Certified B Corp, Vita Coco strives
to deliver high-quality hydration to
our consumers, while giving back to
the coconut farming communities
where our product grows.
The Vita Coco Company
MARKET POSITION
GLOBAL FOOTPRINT
#1
#1
US Coconut Water
Category Leader
UK Coconut Water
Category Leader

40% US market share
70% UK market share
$609M
$1.7B
Revenue (TTM)
Market Cap
+23% year-over-year
NASDAQ: COCO
Americas
Largest market · 80%+ of revenue · US & Canada
United Kingdom
Category leader · 70%+ market share · operational hub
Europe & Asia
France · Spain · Nordics · China · Singapore · Middle East
Competing in the ~$2B global coconut & plant waters category · Euromonitor
Founded 2004 · NYC · HQ: New York City · Offices: London & Singapore
Vita Coco data: NASDAQ filings · Euromonitor · IRI Custom Research · Session context: YASH Technologies · Fabric Community Conference 2026
The Data Modernization Imperative
Legacy Architecture
Sources
Tech Stack
SAP ECC hosted on AWS EC2, Retailer & Distributor Sales, Transportation data & more
SQL Server, SSIS, TM1, Power BI
Pain Points
Performance Bottlenecks
No Incremental Logic
Full-scan SSIS pipelines taking 3+ hours daily, blocking timely business decisions
Absence of reliable timestamps in SAP ECC forces complete table re-extractions
Rigid SSIS Packages
Limited Self-Service Analytics
Tightly coupled on-premise ETL with no cloud scalability or parallel orchestration
Heavy Excel + static Cognos reports; no modern dashboarding or ad-hoc exploration
On-Prem SQL DW Constraints
Historical Data Overhead
No elasticity, high maintenance burden, no separation of compute and storage
10 years of data (~2015+) scanned every run with no efficient partitioning strategy
Vita Coco's Platform Evaluation Journey
We evaluated three modern data platforms before choosing Microsoft Fabric
AWS Option
Microsoft Fabric ✓ SELECTED
Databricks
› Glue ETL + Redshift + S3
› Delta Lake + Unity Catalog
› All-in-one SaaS analytics platform
› Already on AWS EC2 (SAP ECC)
› Best-in-class Spark processing
› Native Power BI + TM1 support
› Familiar infrastructure team
› Strong CDC & streaming support
› Fabric Pipelines replace SSIS
› High operational overhead
› Premium licensing cost
› SQL Mirroring for SAP ECC
› Limited native BI integration
› No native Power BI embedding
› Unified governance & monitoring
› TM1/Cognos connectivity
› Separate BI tooling required
› Medallion architecture built-in
EVALUATED
Powerful — But Multi-Service Heavy
High ops overhead, weak native BI ecosystem
EVALUATED
SELECTED
Strong Lakehouse Model with ML Depth
Cost & BI integration complexity
Unified Data Operating Model
Best TCO, unified platform, existing M365 licensing
Microsoft Fabric – A Unified Analytics Platform
Fabric Architecture - Implemented
Sources
• SAP ECC (SQL
Server)
• Flat Files (CSV /
Excel)
• Microsoft SQL
Server
Orchestration
& Ingestions
Data Factory
Store – Prepare -Serve
Notebook
Consume
Serve
SQL
analytics
endpoint
Notebook
TM1
reporting
SQL Server
Mirroring
Data agent
(preview)
Notebook
Landing
(Raw)
Curated / Gold
Base / Silver
Semantic model
(Direct Lake)
Machine
Learning
OneLake
Platform
Microsoft Entra ID
Cost Management
Azure Key Vault
GitHub
Azure DevOps
Azure AI
Foundry
Azure Policy
Outcomes – Before vs. After
BEFORE – Legacy SSIS Stack
AFTER – Microsoft Fabric
ETL Runtime
~3 hours (full scan)
→
< 30 min (incremental CDC)
Refresh Frequency
Once daily, manual trigger
→
3x per day, automated + on-demand
Incremental Load
None – full table scan every run
→
CDC + delta tracking via SQL Mirroring
Data Architecture
Flat SQL DW, no raw/refined split
→
Medallion: Bronze → Silver → Gold
Reporting Options
Excel & Cognos static reports only
→
TM1 + Cognos + Power BI self-service
Monitoring
No centralized lineage or alerting
→
Fabric monitoring + Azure Log Analytics
Scalability
On-prem SQL DW – fixed compute
→
Serverless Fabric Lakehouse + SQL DB
Deployment
Manual SSIS changes, no CI/CD
→
Azure DevOps CI/CD with Git integration
Key Challenges & How Fabric Solved Them
Challenge: Long ETL Runtime (~3 hrs)
Challenge: No Incremental Logic (Full Table Scans)
Solution: Incremental CDC pipelines; runs every 2 hrs with faster execution
Solution: CDC / last-modified logic via SQL Mirroring or delta tracking
Challenge: Rigid SSIS with Manual Triggers
Challenge: Manual Cleansing/Joining in SSIS
Solution: Fabric Pipelines with flexible scheduling + event-trigger execution
Solution: Modular PySpark + SQL notebooks — reusable, version-controlled logic
Challenge: No Raw/Refined Segmentation
Challenge: On-Prem SQL DW Limitations
Solution: Structured Medallion Architecture: Bronze → Silver → Gold
Solution: Scalable Fabric SQL DB + Lakehouse with serverless compute
Challenge: Limited Reporting (Excel & Cognos only)
Challenge: No Centralized Monitoring or Lineage
Solution: Power BI introduced for modern analytics + TM1/Cognos continuity
Solution: Full pipeline visibility via Fabric + Azure monitoring stack
Road Ahead..
An intelligent sales day · Agentic AI in action
AI Road Ahead · FY26
8:00 AM
8:15 AM
8:30 AM
manages 80 retail stores. Every
MM
morning, his AI agent plans the
optimal day — before he finishes
his coffee.
AI Triage Agent runs
Market Manager
Route built & brief sent
MM reads the plan
Scans all 80 stores, flags voids &
promos
Top 7 stores selected & drive route
built
7 stores, times & void/promo
flags shown
Scores stores: Value · Urgency · AI
SMS + email brief sent
One tap to open route in maps
11:15 AM
10:00 AM
ATLANTA · 80 stores
↺ Feedback Loop
Rep checks off each store visited
Outcomes logged back to Fabric
Model learns · every rep · every day
Store visit: Target
Store visit: Walmart
Promo display checked & restocked
Void confirmed, speaks to store
manager
Store checked off, next auto-queued
Order placed & logged back to Fabric
»
BUILT ON:
Zero missed
voids
Routes 40%
more efficient
Model improves
every day
Microsoft Fabric
Retailer Scan Data
Promo Calendar
Inventory Signals
Azure AI Foundry
Store Master
OneLake · Gold layer
Units · SKU · Store · Daily
Every store's promo week
Distributor + warehouse
ML · Route AI · Agent
Territory · Address · Map
Key Takeaways
What this session proves — and what to take back to your organisation
Your data foundation IS the AI strategy — not a prerequisite to it
Migration / Modernization is not an ETL rewrite — it's six simultaneous changes
Architecture is foundational — Look on workload & Score them with the Triage Model
The Intelligence is real, possible, and buildable now
The POC gate is your most important governance decision
Sound off.
The mic is all yours.
Influence the product roadmap.
Join the Fabric User Panel
Join the SQL User Panel
Share your feedback directly with our Fabric
product group and researchers.
Influence our SQL roadmap and ensure it
meets your real-life needs
https://aka.ms/JoinFabricUserPanel
https://aka.ms/JoinSQLUserPanel
How was
the session?
Complete Session Surveys in
for your chance to WIN
PRIZES!
Sound off.
The mic is all yours.
Influence the product roadmap.
Join the Fabric User Panel
Join the SQL User Panel
Share your feedback directly with our
Fabric product group and researchers.
Influence our SQL roadmap and ensure it
meets your real-life needs
https://aka.ms/JoinFabricUserPanel
https://aka.ms/JoinSQLUserPanel