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OneLake foundation
Domain-organized OneLake with shortcuts that end data duplication across teams.
Data
One analytics platform. One copy of data.
OneLake foundations, warehouse and lakehouse workloads, real-time intelligence, and Power BI — Microsoft Fabric implementation that consolidates your stack without a multi-year migration.
What we build
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Warehouse & lakehouse
T-SQL warehouses and Spark lakehouses on the same copy of data — no more sync jobs.
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Real-time intelligence
Eventstreams and KQL for operational dashboards that update in seconds.
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Power BI on Fabric
Direct Lake mode semantic models — import-mode speed without the refresh windows.
How we deliver
Step 01 — Assess
Use-case discovery, data and platform readiness, and a business case with measurable outcomes for Microsoft Fabric.
Step 02 — Build
Senior-led delivery in weekly increments — architecture, security, and quality gates baked into every sprint.
Step 03 — Operate
Production monitoring, SLAs, and continuous improvement through our managed services team in Chennai.
Tools & platforms
OneLakeDirect LakeData FactorySparkKQLPower BIPurview
In depth
Microsoft Fabric: one analytics backbone instead of five tools
Microsoft Fabric unifies data engineering, warehousing, real-time analytics, and Power BI on a single SaaS foundation with OneLake underneath. For enterprises tired of stitching together ingestion tools, warehouses, and BI licenses, Fabric collapses the stack — and our practice makes the promise real.
We design Fabric deployments domain by domain: workspaces and capacity planning, OneLake shortcuts that virtualize existing ADLS and S3 data, medallion lakehouses, and semantic models that give Power BI a single version of the truth. Migration from legacy Synapse, SSIS, or standalone warehouses follows a phased path that keeps current reporting alive throughout.
Fabric is also a fast lane to AI: governed data in OneLake becomes grounding for Copilot and custom LLM applications with lineage intact. Paired with our data engineering and BI teams, Fabric becomes the analytics backbone — not another tool on the pile.
OneLake, one copy
Shortcuts virtualize existing lakes — analyze in place instead of copying data again.
Capacity done right
F-SKU sizing, workspace governance, and cost monitoring from the first workload.
AI-ready by design
Governed OneLake data grounds copilots and RAG applications with lineage intact.
Frequently asked questions
Have a different question? Talk to an engineer, not a salesperson.
We already have Synapse / Power BI — what changes?
Fabric unifies them under one capacity and one lake. Existing Power BI assets carry forward; Synapse pipelines map to Fabric equivalents with modest rework.
How is Fabric licensed?
Capacity-based (F SKUs) — we size capacity from your actual workloads and set up monitoring so you scale deliberately.
Is Fabric mature enough for production?
Yes for most analytics workloads — we run production Fabric estates today and will flag honestly any feature still too green for your use case.