Future-Proof Your Data with Seamless Enterprise Modernization

Transform legacy systems into agile, cloud-native data environments that scale with your business, ensuring long-term flexibility and innovation.

 

What are your goals?

Our Enterprise Data Modernization services help organizations across industries unlock new capabilities.

Legacy System Migration to Cloud

Cloud Data Warehousing and Optimization

Implementing Data Mesh Architecture

AI/ML-Ready Data Infrastructure

Seamless Data Modernization for the Future

A streamlined, future-ready approach to transform your legacy data systems into scalable, cloud-native solutions.

Legacy System Assessment and Strategy

We start by evaluating your current data architecture to understand existing challenges and identify modernization opportunities. We craft a tailored roadmap for migrating to a cloud-native, scalable data environment.

Data Transformation and Migration

We migrate your data from legacy systems to cloud platforms (e.g., GCP, AWS, Azure), ensuring a smooth transition with minimal disruption to your operations.

Semantic Layer and Data Mesh Implementation

We implement a semantic layer over your existing data warehouse, enabling advanced querying and analytics. We also integrate data mesh architecture for decentralized data management, improving scalability and flexibility.

Cloud-Native Infrastructure Setup

We establish robust, scalable cloud-native infrastructures optimized for high-performance analytics and AI applications, ensuring long-term sustainability and cost-efficiency.

Integration

Your organization has deployed GenAI applications that are integrated with and enhance business processes, tools, and client-facing applications.

Continuous Monitoring and Optimization

Post-migration, we ensure your new data architecture operates smoothly with ongoing monitoring, performance optimization, and governance to meet compliance and security standards.

Empower Your Business with Modern and Scalable Data Solutions

Our data modernization services ensure that your enterprise can leverage the full potential of cloud-native technologies, enabling faster decision-making, better insights, and future-proofed systems.

 

Cloud Scalability

Faster Data Access and Insights

Improved Operational Efficiency

Advanced AI/ML Capabilities

Enhanced Security and Compliance

Cost Efficiency and Agility

Generative AI / Machine Learning

Machine learning and generative AI both learn from data, but their purposes and strategies differ. Here’s how: Machine learning is focused on analyzing data to find patterns and make accurate predictions. GenAI, on the other hand, is focused on creating new data that resembles training data

GenAI Quickstart

Rearc's GenAI Quickstart service is designed to help your organization harness the power of generative AI quickly and effectively.

Generative AI Workshops

A 1-2 day workshop to guide you from an initial idea to a detailed GenAI use-case, complete with an implementation plan.

Machine Learning Operations (MLOps)

Machine learning and generative AI depend on your data. MLOps helps automate the process.

We deliver the best results with our partnerships