Data Modernization
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Data Modernization
Without the Risk

Transform Legacy Systems to Cloud-Native Platforms

Transform data on any platform—AWS, Databricks, Microsoft, Salesforce, Snowflake—to improve business processes and enable better decision-making.

40%
Cost Savings
5x
Performance Improvement
Zero
Data Loss
99%
Migration Success
Executive Summary

Why Modernize Your Data Infrastructure?

Legacy data systems cost 3-5x more to maintain than modern cloud platforms while delivering slower performance and limited scalability. Organizations that modernize see 40% cost reduction and 5x performance gains.

ELMET's data modernization services transform your data infrastructure with minimal risk—migrating workloads, converting pipelines, and enabling new capabilities while keeping your business running.

Migration Approach

Zero-Downtime

Platform Choice

Multi-Cloud

Data Validation

Automated

Knowledge Transfer

Included

The Challenge

Legacy System Pain Points

Aging data infrastructure creates significant business and technical challenges.

Expensive Maintenance

Legacy systems require specialized skills and expensive licenses while delivering diminishing value.

3-5x Higher TCO

Performance Bottlenecks

Slow query performance and batch processing can't support real-time analytics and AI use cases.

Hours vs. Seconds

Scalability Limits

Fixed capacity systems can't scale with data growth, leading to performance degradation.

Growth Constrained
Our Approach

Data Modernization Capabilities

Proven methodologies for risk-free data transformation.

Migration

Cloud Data Migration

Migrate data warehouses, data lakes, and analytics workloads to AWS, Azure, Google Cloud, or multi-cloud environments.

Transformation

ETL/ELT Conversion

Convert legacy ETL processes to modern, scalable data pipelines using tools like dbt, Spark, and cloud-native services.

Architecture

Schema Evolution

Modernize data models from traditional star schemas to lakehouse architectures optimized for analytics and AI.

Risk Mitigation

Parallel Running & Validation

Run legacy and modern systems in parallel with automated data validation to ensure zero data loss.

Our Process

Data Modernization Methodology

A proven, phased approach that minimizes risk and delivers value incrementally.

01

Assess

Inventory data assets, evaluate complexity, and define target architecture.

02

Plan

Create migration roadmap, define success criteria, and prepare resources.

03

Build

Set up target environment, develop pipelines, and configure security.

04

Migrate

Execute migration waves with parallel validation and rollback capability.

05

Optimize

Performance tune, decommission legacy, and enable new capabilities.

Business Impact

Modernization Benefits

Measurable outcomes from data modernization initiatives.

Cost Reduction

Reduce total cost of ownership by 40-60% with cloud-native platforms.

Performance Gains

Achieve 5-10x faster query performance with modern architectures.

Unlimited Scale

Scale storage and compute independently based on actual demand.

New Capabilities

Enable real-time analytics, AI/ML, and self-service data access.

Enhanced Security

Implement modern security controls, encryption, and access management.

Reduced Maintenance

Eliminate infrastructure management with managed cloud services.

Ready to Modernize Your Data?

Let's discuss how ELMET can help you transform your legacy data systems to modern cloud platforms.

Schedule a Consultation