Data Architecture

We design future-ready data systems that enable your organization to make data-driven decisions.

Challenges We Address

We understand the complex challenges organizations face in designing data systems. Here's how we can help:

Challenge:

"Our startup is growing fast, and our current database can't keep up."

Solution:

Scalable Cloud-Native Architecture: We design a flexible, microservices-friendly data architecture on the cloud that grows with your business.

Challenge:

"We need to combine data from dozens of different sources."

Solution:

Modern Data Warehousing: We architect a centralized data warehouse that integrates all your disparate data sources for unified reporting and analysis.

Challenge:

"Our data is sensitive, and we need to ensure it's secure and compliant."

Solution:

Secure & Compliant by Design: We build data systems with security at their core, implementing encryption, access controls, and data governance to meet standards like GDPR and HIPAA.

Challenge:

"We want to build a data-driven product, but don't know where to start."

Solution:

Data-as-a-Service (DaaS) Strategy: We help you design the backend architecture to power your data-heavy applications, ensuring it is fast, reliable, and scalable.

Our Technology Expertise

We provide specialized consulting and design services for a wide range of data architecture requirements.

Cloud Data Platforms

AWS, Azure, and GCP Data Service Architecture

Serverless Data Architecture with Lambda & Cloud Functions

Multi-Cloud and Hybrid Cloud Strategy

Data Lake Design on S3, ADLS, and GCS

Cloud Data Migration and Modernization Strategy

Data Architecture Technologies

Daily Operations

We provide ongoing support to ensure your data architecture continues to perform at its best.

Infrastructure Review & Design

Continuous assessment of current data infrastructure and proposing improvements to enhance performance and scalability.

Integration Management

Managing integrations between diverse data systems, including troubleshooting to ensure smooth data flow.

Query & Performance Optimization

Analyzing and tuning database queries and optimizing database system performance.

Change Management & Upgrades

Planning and implementing data infrastructure upgrades while minimizing downtime.

Backup & Recovery

Managing backup and recovery strategies for critical data.

Compliance & Security

Ensuring data systems comply with relevant security and compliance regulations.