Data, AI & Analytics

Big Data, Lakes & Warehousing

The Foundation Every
Data-Driven Enterprise Needs

We architect and build enterprise-grade data lakes, cloud data warehouses, and real-time streaming platforms that handle any data type, at any volume, with the governance and security your organization demands.

Medallion Architecture

Gold Zone Business-Ready Datasets
Silver Zone Cleaned & Conformed Data
Bronze Zone Raw Ingested Data

PB+

Data Scale Supported

<2s

Query Latency Target

Lakehouse

Medallion Architecture Standard

Real-Time

Streaming & Batch Processing

Azure Native

Synapse, Databricks & ADF

See It In Action

Big Data, Lakes & Warehousing in Action

Watch how Neurocraft architects high-performance data lakes and warehouses that scale with your business.

How We Build It

A Four-Layer Architecture Built to Last

Every Neurocraft data platform follows a proven architectural pattern — ingest, store, process, and serve — with governance and observability at every layer.

01

Ingest

Bring every source — structured to unstructured — into one layer with schema registry and lineage.

02

Store

Bronze to silver to gold — raw data refined into business-ready datasets.

03

Process

Batch and streaming transforms on Spark and Databricks, orchestrated by ADF or Airflow.

04

Serve

Serve data via semantic models, APIs, and endpoints to BI, ML, and apps.

The Next Step

Ready to become an agent-powered enterprise?

Build securely on Microsoft Azure, Microsoft Fabric, and Azure AI Foundry — with the human oversight, governance, and enterprise architecture required to move from AI pilots to production.

Core Capabilities

Our Data Platform Service Portfolio

Discuss Your Architecture

Data Lake Design & Build

Purpose-built lakes on ADLS Gen2 — raw and curated zones, governed and secure from day one.

Enterprise Data Warehousing

Cloud-native warehouses on Synapse or Snowflake — sub-second queries at petabyte scale.

Real-Time Streaming Pipelines

Event-driven pipelines on Event Hubs and Stream Analytics — IoT and API streams in real time.

Data Ingestion & ETL/ELT

Ingestion on Azure Data Factory — hundreds of sources, schema drift and quality handled at scale.

Lakehouse Architecture

Lakehouse patterns with Delta Lake on Databricks — lake flexibility, warehouse reliability.

Data Security & Compliance

Encryption, column-level security, masking, and audit trails — GDPR, HIPAA, and SOC 2 ready.

Technology Stack

Enterprise-Grade Tools. Expert Configuration.

We select and configure the right combination of Azure-native and best-of-breed open source tools for your specific data volumes, latency requirements, and team capabilities. Every technology choice is justified by your workload profile, not vendor relationships.

Azure Data Lake Storage Gen2 Raw & curated storage
Azure Synapse Analytics Data warehousing & analytics
Azure Databricks Distributed processing & ML
Azure Data Factory Orchestration & ETL/ELT
Azure Event Hubs Real-time event streaming
Snowflake Cloud-native warehousing
Delta Lake Lakehouse open format
Apache Kafka High-throughput messaging
Data Lake Processing Warehouse

Why Neurocraft

Built for Scale. Governed from Day One.

Most data lake projects fail when they become unmanageable data swamps. We prevent this by establishing governance policies, data contracts, and quality standards before the first byte lands — ensuring your platform grows in value as your data grows in volume.

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Architecture That Scales

Designed for 10× your data from day one — no costly re-architecture later.

medallion Zone Design

Bronze/silver/gold layering preserves raw data while serving fast, curated datasets.

Databricks & Synapse Expertise

Certified on Databricks and Synapse — we pick by workload, not vendor preference.

Cost Engineering Built-In

Partitioning, caching, and auto-scaling keep your cloud bill predictable.

Data Contract Standards

Formal data contracts between producers and consumers — no silent schema breaks.

Migration Without Disruption

Phased migration that keeps production running as we move workloads.