Modernize and Optimize Your Data Platform

The Challenge

Data platforms grow organically over time, accumulating technical debt, outdated architectures, and rising costs. Organizations often find themselves locked into legacy technologies, paying premium prices for underperforming infrastructure, or struggling to keep pace with modern data demands.

Modernizing a data platform requires deep expertise across multiple technologies—from distributed computing frameworks like Spark and Flink, to streaming platforms like Kafka, to analytical databases like ClickHouse. Making the wrong architectural decisions can be costly and time-consuming to reverse. Organizations need experienced partners who have navigated these transitions successfully.

Modernization
Capabilities

Platform Assessment

Comprehensive analysis of your current data platform architecture, performance characteristics, cost structure, and operational practices. We identify bottlenecks, inefficiencies, and opportunities for improvement, providing a clear picture of where you are and where you need to go.

Migration Planning

Detailed migration roadmaps that minimize risk and downtime. Whether you're moving from on-premise to cloud, upgrading between managed services, or consolidating multiple platforms, we design phased migration strategies with clear milestones, rollback plans, and validation checkpoints.

Cost Optimization

Reduce your data platform spend by 30-50% through right-sizing, reserved capacity planning, storage tiering, query optimization, and architecture improvements. We analyze your usage patterns and implement cost controls without sacrificing performance or reliability.

Performance Tuning

Optimize query performance, throughput, and latency across your data platform. From Spark job optimization and EMR cluster configuration to ClickHouse query tuning and Kafka throughput optimization, we ensure your platform delivers the performance your workloads demand.

Architecture Modernization

Redesign your data architecture for modern requirements. Implement lakehouse architectures, real-time streaming pipelines, event-driven data processing, and modern data mesh patterns. We help you adopt architectures that scale with your business and enable new capabilities.

Managed Service Adoption

Transition from self-managed infrastructure to fully managed services to reduce operational overhead. We help you evaluate, adopt, and optimize managed offerings from AWS, Databricks, and other providers, ensuring you get the most value from managed services without losing control.

Why Choose BigData Boutique

Multi-Platform Expertise

Unlike vendors tied to a single technology, we bring deep expertise across the entire data platform landscape—EMR, Databricks, ClickHouse, Spark, Flink, Kafka, and more. We recommend the right technology for your needs, not the one we happen to sell.

Proven Track Record

With 200+ platforms optimized and an average 40% cost reduction, our results speak for themselves. We've helped organizations across industries modernize their data infrastructure and unlock significant value from their data investments.

AWS Partnership Benefits

As an AWS Advanced Consulting Partner, we have access to AWS funding programs, direct relationships with AWS engineering teams, and deep knowledge of AWS managed data services. Our partnership can unlock credits and co-investment opportunities for your modernization project.