Data Hackathon

One concept in. A working data solution out.

Complimentary 1-2 days

One to two complimentary days with your team and ArchitectNow engineers to prove a data concept on Microsoft Data technology. We build together and deploy a real, working solution, in your tenant or our hackathon tenant, then hand you the design and the plan to scale it.

1-2 days
Hackathon build, on site or virtual
1
Working Microsoft Data solution, deployed live
2
Hosting options: your tenant or our hackathon tenant
3
Deliverables: design, prototype, scale plan

Prove the capability, or prove the value.

Real-Time Data & Event Stores: act on data as it lands · Fabric RTI

Ontology for Twins & Agents: shared business meaning · Fabric IQ

Pipeline Framework: metadata-driven ingestion & validation, no new code

Unity Catalog on Databricks: governance, lineage & discovery in one place

AI-Automated Data Engineering: agents draft, test & repair pipelines

Zero-ETL Mirroring: operational stores live in the lake, no pipelines

Medallion Lakehouse: raw-to-gold zones on Fabric or Databricks

Semantic Layer: one governed model for BI and agents · Direct Lake

Vector & Search Store: your data made retrievable for RAG · AI Search

DataOps CI/CD: tested, versioned pipeline deployments

Data Agents for Insights: plain-language answers · Fabric / Genie

Operations Agents: act on what the data says, not just report it

Executive KPI Copilot: narrated scorecards & variance explanations

Customer 360: one trusted view of the customer across systems

Churn & Retention Signals: score the risk, trigger the next best action

Demand Forecasting: ML forecasts in the flow of planning

Anomaly & Fraud Detection: real-time flags on transactions & telemetry

Predictive Maintenance: telemetry plus twins, act before the failure

Finance Close Copilot: reconciliation & variance explanations

Report Rationalization: consolidate legacy BI into governed insights

These are examples to start the conversation; the best topic is the one your team already wants to prove. Bring your own.

Three outcomes, built in the room.

Deliverable 01

Recommended Approach & Design

The Microsoft data platform architecture for your topic, with the key decisions documented.

Deliverable 02

Working Prototype

A real solution deployed and demonstrated live: no slides, not a mockup.

Deliverable 03

Action Plan to Scale

The sequenced steps to take the prototype to production, owners named.

Six steps. Two before, three in the room, one after.

01 · Pre-Hackathon

Planning Session

Pick the topic, goal, knowledge sources and Microsoft technologies in scope. Choose hosting, your tenant or ours, and single-team (collaborative) vs multi-team (competitive) format.

02 · Pre-Hackathon

Readiness & Agenda

Schedule and review the targeted agenda. Confirm Microsoft service and source-knowledge readiness (access, licensing, sample data) and team onboarding steps.

03 · Hackathon

Vision the Approach

Align on the Microsoft technology approach for the topic and the key design considerations before the build starts.

04 · Hackathon

Execute the Build

Build hands-on with ArchitectNow engineers guiding side by side: pairing, unblocking, keeping the build on the clock.

05 · Hackathon

Present the Results

Demo working builds to the wider stakeholder team. Multi-team format: the judging panel scores the builds and names the winner, with prize.

06 · Post-Hackathon

Operationalize

Agree next steps to take the winning build toward production, a natural entry to a Frontier-funded Fabric or Databricks Pilot.

A partner, not a vendor.

4 Solutions Partner Designations

Data & AI · Digital & App Innovation · Infrastructure Azure · Support Services.

AI Apps on Azure Specialization

Held by a small fraction of partners. Production AI on Azure, verified by Microsoft.

Microsoft MVPs on staff

Engagements led by Microsoft-recognized practitioners with 15+ years on the platform.

Microsoft funding pathway

Our Azure specialization lets us nominate qualifying engagements for Microsoft Azure investment funding, subject to Microsoft eligibility and approval.

Prove your data concept in 1 to 2 days.

30-minute sponsor call to pick your topic.

Book the hackathon