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ZEROSHIELDCyber SecurityCYBERULTRONThreat IntelligenceINTLDAAI GovernanceREVOLUTIONS.AIAI TransformationEIY SYS Pvt LtdTechnology SystemsZEROSHIELDCyber SecurityCYBERULTRONThreat IntelligenceINTLDAAI GovernanceREVOLUTIONS.AIAI TransformationEIY SYS Pvt LtdTechnology Systems
Databricks · Azure · Power BI · Delta Lake

Analytics Accelerators

From raw data chaos to executive insight. In weeks.

Pre-architected, fully configurable analytics frameworks built on Databricks and Azure. Medallion architecture, clean semantic layers, and self-serve BI — without a 12-month implementation project.

Everything a modern data platform needs.

Medallion Data Architecture

Bronze / Silver / Gold layers with lineage, quality gates, and cost controls baked in.

Industry Data Models

Pre-built dimensional and semantic models for your vertical — extend, don't rewrite.

Databricks SQL + Power BI

Semantic layer that lets business users self-serve without breaking governance.

Data Quality & MLflow Lifecycle

Great Expectations, Unity Catalog, and MLflow model registry ready on day one.

Medallion architecture, ready to deploy.

Raw Sources
Stage 1
Bronze Layer
Stage 2
Silver Layer
Stage 3
Gold Layer
Stage 4
BI + ML
Stage 5

Best-of-breed, engineered together.

Azure Data FactoryDelta LakeDatabricks SQLUnity CatalogMLflowPower BIdbtGreat ExpectationsAzure OpenAIPython

Eight weeks. Production. No excuses.

Week 1–2

Architecture & Data Source Mapping

Discovery, source inventory, semantic model design, cost model.

Week 3–6

Medallion Pipeline Build + Data Models

Bronze/Silver/Gold pipelines, quality gates, dbt models, Unity Catalog setup.

Week 7–8

BI Layer + Self-Serve Enablement + Handover

Power BI semantic layer, dashboards, runbooks, team enablement.

Built for teams that need to move.

Data teams drowning in technical debt

Skip years of platform work. Deploy the accelerator and iterate on business outcomes.

Enterprises migrating from legacy DWH

Netezza, Teradata, on-prem SQL — proven migration playbook to Databricks.

Companies needing AI-ready foundations

Feature stores, MLflow, semantic layers — everything AI initiatives will demand.

See the platform end to end.

Replace these placeholders with production screenshots — layout, aspect ratios and framing are ready.

Reference Architecture
Reference Architecture
Medallion Architecture
Medallion Architecture