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11 resultsApplied AI & ML — Service Overview
Everything included in our Applied AI engagements: RAG, agents, fine-tuning, evals, and guardrails.
Building a Data Quality Framework
Dimensions of data quality, validation layers, and monitoring in production pipelines.
Product Engineering — Service Overview
APIs, dashboards, and services delivered with tests, CI/CD, and observability from day one.
Data Lake vs Data Warehouse vs Lakehouse
Practical comparison of the three architectures and how to choose.
Real-Time Analytics Architecture Patterns
Lambda, Kappa, HTAP, and choosing the right pattern for sub-second analytics.
Data Contracts — Formalising Agreements Between Producers and Consumers
Schema, SLAs, semantics, and how to enforce data contracts in practice.
Testing Strategy for Data Pipelines
Unit tests, integration tests, data contract tests, and regression testing for pipelines.
Predictive maintenance for fleet management
Time-series models reduced unplanned downtime by 18% across a mixed heavy equipment fleet.
Amazon Redshift — Architecture and Query Optimization
Distribution styles, sort keys, VACUUM, ANALYZE, and WLM tuning.
Implementing Data Lineage Tracking
Column-level lineage, tools, and why it is critical for debugging and compliance.
WebSockets — Building Real-Time Features
Connection lifecycle, heartbeats, reconnection logic, and scaling with Redis pub/sub.