AWS & GCP Data Warehousing

Cloud Data Warehousing Solutions

We build data warehouses on AWS and GCP that bring all your company's data together in one place. Using Amazon Redshift or Google BigQuery, along with AWS Glue or Cloud Data Fusion for automated data movement, we create systems that make it easy to analyze your data and get answers fast.

Need to move from an old database to the cloud? Want dashboards that update in real-time? We help you build modern data systems that are faster, cheaper to run, and give your team the insights they need to make better decisions—on whichever platform fits your stack.

Why a Data Warehouse Matters

A data warehouse is like a central hub where all your business data comes together. Instead of hunting through different systems for information, your team can find everything in one place—making it easy to spot trends, track performance, and make smarter decisions.

All Your Data in One Place

Combine data from sales, marketing, operations, and more into a single source of truth

Move to the Cloud Smoothly

We help you migrate from old databases or on-premise systems to AWS without disrupting your business

Get Answers Faster

Run reports in seconds instead of hours, so your team can make decisions based on current data

Core AWS Data Warehousing Services

We specialize in implementing AWS's industry-leading data warehousing technologies

Amazon Redshift

AWS's powerful data warehouse. Think of it as a super-fast database designed for analyzing huge amounts of data and running complex reports.

AWS Glue

Automatically moves and transforms your data without managing servers. It finds your data, understands its structure, and prepares it for analysis.

Amazon Athena

Query your data directly in S3 using simple SQL—no database setup needed. You only pay for the queries you run.

Amazon S3

Unlimited, low-cost storage for all your data. The foundation where your raw data lives before it's processed and analyzed.

AWS Lake Formation

Makes it easy to set up a secure data lake in days instead of months. Controls who can access what data with fine-grained permissions.

Amazon QuickSight

Create interactive dashboards and reports that anyone can use. Includes AI features that automatically surface insights from your data.

Core GCP Data Warehousing Services

We're equally at home implementing BigQuery and the broader Google Cloud data stack

Google BigQuery

Google's serverless, fully-managed data warehouse. Built for fast SQL analytics on massive datasets without managing any infrastructure.

Google Cloud Dataflow

Fully-managed batch and streaming data processing. Automatically scales to handle data volume spikes without you touching a server.

Cloud Data Fusion

Visual, code-free data integration to build and manage ETL/ELT pipelines that feed BigQuery.

Google Cloud Storage

Unlimited, low-cost storage for raw data. The foundation of a GCP data lake, similar in role to Amazon S3.

Dataplex

Unifies data across data lakes, warehouses, and marts with centralized governance, discovery, and access controls.

Looker Studio

Build interactive dashboards and reports directly on top of BigQuery, free for most use cases.

Business Benefits of Cloud Data Warehousing

AWS and GCP data warehouse implementations deliver measurable business value

50%+

Lower Costs

Only pay for what you use. No more expensive hardware sitting idle.

10x

Faster Reports

Queries that took hours now run in seconds thanks to Redshift's smart architecture.

Unlimited

Grows With You

Add more storage or processing power anytime—no downtime, no migration headaches.

Enterprise

Bank-Level Security

Your data is encrypted and protected. AWS meets the strictest compliance standards.

Performance Acceleration

Amazon Redshift's columnar storage and parallel processing architecture delivers faster analytics performance than traditional databases. Proper implementation enables improved business insights and interactive dashboards.

Columnar data compression
Materialized views
Parallel query execution
Query optimization
Result caching
AQUA acceleration

Faster

Complex query performance

Real-time

Dashboard refresh capability

Multi-user

Concurrent access support

Our Data Warehousing Implementation Approach

We follow a structured methodology to deliver successful warehouse implementations on AWS or GCP

Discovery & Assessment

Data source inventory, business requirements documentation, and ROI development

Solution Architecture

Detailed architecture design with service selection and data modeling

ETL Pipeline Development

Automated data ingestion with quality validation and error handling

Analytics Integration

BI tool integration with custom dashboards and user training

Security & Governance

Data encryption, access management, and compliance documentation

Optimization & Support

Performance monitoring, cost optimization, and ongoing support

Data Warehouse Architecture Patterns

We implement the right architecture based on specific business requirements

Centralized Data Warehouse

One Place for Everything

All your data flows into Redshift, where anyone can run reports and get consistent answers.

Ideal for:

Companies that need reliable, company-wide reporting and a single version of the truth

Data Lake + Warehouse

Best of Both Worlds

Store raw data cheaply in S3 (data lake), then load what you need into Redshift for fast analysis.

Ideal for:

Organizations with lots of different data types—files, logs, images, plus traditional business data

Modern Data Platform

Full Data Journey

Organized zones for raw data, cleaned data, and ready-to-use data—with tracking so you know where everything came from.

Ideal for:

Large organizations with strict governance needs and many different teams using data

Your Data Modernization Journey

Foundation

Establish reliable data warehouse infrastructure with governance controls.

Optimization

Enhance performance, reduce costs, and expand data sources.

Intelligence

Integrate ML models and predictive capabilities.

Innovation

Enable new business models and data products.

Future-Ready Solutions

We help you build solutions that leverage AWS and GCP advancements for long-term agility

Machine Learning Integration

Design data warehouses ready for integration with Amazon SageMaker or Vertex AI for predictive analytics

DataOps & Automation

Implement automated data workflows using AWS or GCP services for efficient operations

Serverless Analytics

Leverage Amazon Athena and Lambda, or BigQuery's on-demand querying, to reduce operational overhead with pay-per-query pricing

Flexible Architecture

Build adaptable data architectures using AWS Lake Formation or GCP Dataplex for future growth

Frequently Asked Questions

Get answers to common questions about our data warehousing services.

A data warehouse (like Redshift) stores structured, organized data optimized for fast reporting and analysis. A data lake (like S3) stores raw data of any type—cheaply and flexibly—before it's cleaned and structured. Many businesses use both together for the best of speed and flexibility.

It depends on your existing stack and data/AI roadmap. Redshift (AWS) is a strong fit if you're already deep in the AWS ecosystem, while BigQuery (GCP) is often faster to get running and pairs tightly with Vertex AI if analytics and machine learning are central to your roadmap. We'll assess your requirements and recommend the platform that fits best—including a combination of both if that's the right call.

A focused warehouse for a single business area typically takes 4-8 weeks. A comprehensive platform covering multiple data sources, governance, and BI tooling can take 2-4 months. We deliver in phases so you get usable reporting early rather than waiting for the entire build.

Yes. We assess your current schema and workloads, plan a migration approach (using AWS Database Migration Service and Redshift's native tools, or BigQuery Data Transfer Service and Datastream on GCP), and execute with minimal disruption to your reporting. We validate data accuracy at every step before cutting over.

Costs depend on data volume, query frequency, and pricing model—provisioned vs. Redshift Serverless on AWS, or on-demand vs. flat-rate slots on BigQuery. We design for cost efficiency from the start—right-sizing compute, using Athena or BigQuery's on-demand querying for ad-hoc analysis, and setting up cost monitoring so you're never surprised by the bill.

We set up role-based access control so the right people—analysts, BI tools, executives—can query safely without needing to know SQL internals. We also connect BI tools like QuickSight, Tableau, or Power BI so business users get dashboards, not raw tables.

We implement access controls, encryption at rest and in transit, audit logging, and data lineage tracking using AWS Lake Formation and Glue Data Catalog. For regulated industries, we design governance frameworks that align with your specific compliance requirements.

Ready to Transform Your Data Infrastructure?

Let us help you design and implement a data warehousing solution tailored to your business needs