DATA ENGINEERING & MACHINE LEARNING

Data Warehouse & Integration Enterprise Cloud Warehouses & Star Schema Dimensional Modeling

Break down data silos with a modern cloud data warehouse. We centralize data from 50+ business applications, databases, and APIs into a unified analytical repository (Snowflake, BigQuery, or ClickHouse), modeled for sub-second query performance and zero operational downtime.

Start Technical Discovery Inspect Architecture

Distributed Data Pipeline

Kafka • Snowflake • PyTorch

● STREAMING

Ingestion Velocity

1.4M / sec

Zero backpressure

Query p99 Latency

14.2 ms

pgvector + Redis cache

Active Stream Health

Schema Registry ValidationPASS (100%)

Model Drift & Anomaly Eval< 0.02%

Automated CheckpointsSOC 2 Type II Safe

Problems Solved by Data Warehouse & Integration

Data Trapped Across 10+ Disconnected Apps

Billing lives in Stripe, customer conversations in Zendesk, leads in Salesforce, and orders in PostgreSQL, making unified analysis impossible.

Slow Queries Slowing Down Production Databases

Running heavy analytical queries on your primary production database causes latency spikes and risks bringing down customer-facing apps.

How MP AI Labs Solves This

Central Cloud Data Warehouse (MDW)

A dedicated analytical repository engineered on Snowflake or BigQuery with columnar storage and blazing-fast query execution.

Automated Zero-Maintenance Connectors

Managed ELT pipelines continuously syncing data from all cloud applications with automated schema management and zero dev effort.

WHAT WE PROVIDE

What We Provide in Data Warehouse & Integration

Core features and architectural capabilities built directly into your data warehouse & integration deployment.

Centralized cloud data warehouse setup (Snowflake, BigQuery, ClickHouse)

Automated ELT data connectors for 50+ business apps and operational DBs

Star schema and dimensional data modeling (Kimball methodology) using dbt

Columnar storage optimization reducing analytical query latency by 90%

Role-based access control (RBAC), column-level masking, and data encryption

Disaster recovery, automated daily snapshots, and zero-loss backup protocols

What You Receive (Key Deliverables)

Fully Configured Enterprise Cloud Data Warehouse Environment

Automated Ingestion Connectors from All Source Applications

Production dbt Dimensional Models (Fact and Dimension Tables)

Data Governance, Security, and Cloud Cost Management Setup

How It Helps Your Business & ROI

Unified single source of truth connecting sales, marketing, and finance

10-50x faster query speeds without burdening production transactional DBs

Complete foundation ready for BI dashboards, machine learning, and AI apps

Production Technology Stack & Standards

SnowflakeBigQueryDatabricksClickHousedbtAirbyte

Security Hardened

OWASP & RBAC Best Practices

AI Guardrails

Deterministic Policy Filters

Data Privacy

Zero Model Training On Private Data

Multi-Cloud Deploy

AWS, Azure & GCP VPCs

High Availability

Edge Caching & Auto-Scaling

100% IP TRANSFER
ZERO LOCK-IN
PRODUCTION-READY CODE

Phased Delivery Lifecycle

How We Deliver Data Warehouse & Integration

Stage 01

Warehouse Architecture

Selecting warehouse technology, storage tiers, and cluster sizing based on budget.

Stage 02

Automated ELT Setup

Deploying Airbyte connectors for all upstream third-party SaaS and databases.

Stage 03

Dimensional Modeling

Structuring star-schema fact and dimension tables with modular dbt models.

Stage 04

Security & Governance

Implementing RBAC access controls, query cost monitoring, and team training.

Ready to engineer your Data Warehouse & Integration?

Speak with our principal architects and software engineers. We will map out your exact system requirements, technical dependencies, and delivery timeline.

Initiate Engineering Discovery Email contact.mpailabs@gmail.com

+91 89550 34189

•Sri Ganganagar, Rajasthan, India•Every brief gets a senior review. Reply within 24 hours.