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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.
Real-Time Analytics Architecture Patterns
Lambda, Kappa, HTAP, and choosing the right pattern for sub-second analytics.
WebSockets — Building Real-Time Features
Connection lifecycle, heartbeats, reconnection logic, and scaling with Redis pub/sub.
Product Engineering — Service Overview
APIs, dashboards, and services delivered with tests, CI/CD, and observability from day one.
Predictive maintenance for fleet management
Time-series models reduced unplanned downtime by 18% across a mixed heavy equipment fleet.
Data Lake vs Data Warehouse vs Lakehouse
Practical comparison of the three architectures and how to choose.
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.
Testing Strategy for Data Pipelines
Unit tests, integration tests, data contract tests, and regression testing for pipelines.
Data Contracts — Formalising Agreements Between Producers and Consumers
Schema, SLAs, semantics, and how to enforce data contracts in practice.