Make Your Operational Data Accessible to Analytics & AI
Your operational databases hold the data that powers your business—but accessing it for analytics, reporting, and AI workloads without impacting production performance is a critical challenge. BigData Boutique helps you bridge the gap between operational databases and modern analytics and AI platforms.
We optimize PostgreSQL and MySQL for read-heavy workloads, design effective read replicas, and build CDC and data replication pipelines to data lakes and warehouses like Apache Iceberg, Databricks, ClickHouse, and more—so your data is always where it needs to be, when it needs to be there.
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Trusted By
13yrs
of Big Data Experience
10x
Faster Analytics Queries
0
Production Impact
The Challenge
Running analytics, reporting, and AI workloads directly against production databases creates performance bottlenecks, impacts user experience, and limits what your data teams can achieve. But operational databases like PostgreSQL and MySQL weren't designed for heavy analytical queries—they're optimized for transactional workloads.
Organizations need a reliable way to replicate operational data to analytics-optimized platforms without introducing lag, data quality issues, or operational complexity. Building and maintaining CDC pipelines, managing schema evolution, and ensuring data consistency across systems requires deep expertise in both operational databases and modern data infrastructure.
Data to Analytics & AI
Capabilities
PostgreSQL & MySQL Optimization
Optimize your operational databases for mixed workloads. We tune query performance, implement connection pooling, optimize indexing strategies, and configure resource allocation to handle both transactional and analytical queries efficiently—reducing the pressure to move data elsewhere for simple analytics needs.
Read Replicas & Query Routing
Design and implement effective read replica architectures that offload analytics and reporting queries from production databases. We configure replication topologies, implement intelligent query routing, and ensure replica lag stays within acceptable bounds for your use cases.
Change Data Capture (CDC)
Build real-time CDC pipelines using Debezium, AWS DMS, or native database features to stream changes from operational databases to analytics platforms. We handle schema evolution, data transformations, and exactly-once delivery guarantees so your analytics data stays fresh and consistent.
Data Lake & Warehouse Integration
Replicate operational data to modern analytics platforms like Apache Iceberg, Databricks Lakehouse, ClickHouse, Amazon Redshift, or Snowflake. We design table formats, partitioning strategies, and data models optimized for analytical workloads while maintaining lineage and data quality.
Streaming Data Pipelines
Build streaming pipelines with Apache Kafka, Amazon Kinesis, or Apache Flink that move data in near real-time from operational systems to analytics destinations. We implement enrichment, filtering, and transformation logic in-stream for minimal latency data availability.
AI-Ready Data Preparation
Prepare your operational data for AI and machine learning workloads. We build feature stores, embedding generation pipelines, and data preparation workflows that make your operational data accessible for training models, running inference, and powering RAG applications.
The BigData Boutique
Solution
BigData Boutique, an AWS Advanced Consulting Partner with global expertise and 13+ years of big data experience, helps organizations unlock the value trapped in their operational databases. We design and implement data pipelines that make your PostgreSQL, MySQL, and other operational data accessible to analytics and AI platforms—without impacting production performance.
Assessment
We analyze your operational databases, current data flows, analytics requirements, and AI workload needs. We identify the optimal strategy for making your data accessible—whether through read replicas, CDC pipelines, batch ETL, or a combination of approaches.
Architecture & Design
We design the complete data replication architecture, including CDC pipeline topology, target platform selection, data modeling, schema management, and monitoring strategy. Every design decision accounts for data freshness requirements, consistency guarantees, and operational complexity.
Implementation
Our engineers build and deploy the complete data pipeline, from source database configuration and CDC setup to target platform optimization and monitoring. We handle schema evolution, data validation, and error recovery to ensure reliable, production-grade data replication.
Ongoing Support
We provide continuous support to keep your data pipelines running reliably. From monitoring and alerting to schema evolution management and capacity planning, we ensure your analytics and AI workloads always have access to fresh, consistent data.
Why Choose BigData Boutique
Full-Stack Data Expertise
We understand both sides of the equation—operational databases and analytics platforms. Our team brings deep experience in PostgreSQL, MySQL, and other operational databases alongside expertise in Iceberg, Databricks, ClickHouse, and modern data lake architectures. This end-to-end knowledge ensures optimal pipeline design.
Production-Proven Pipelines
We've built and operated CDC and data replication pipelines at scale for organizations across industries. Our solutions are battle-tested for reliability, handling schema changes, network failures, and data volume spikes without data loss or production impact.
AWS Partnership Benefits
As an AWS Advanced Consulting Partner, we leverage AWS-native services like DMS, MSK, Glue, and RDS alongside open-source tools to build the most effective solution for your needs. Our partnership can unlock credits and co-investment opportunities for your data project.
Ready to Unlock Your Operational Data?
Schedule a consultation with our data engineering experts to discuss making your operational databases accessible to analytics and AI. We'll assess your current setup, recommend the right approach, and outline a path to reliable, real-time data replication.