After two decades of building data platforms, I’ve witnessed the pendulum swing between data lakes and data warehouses multiple times. Organizations would invest heavily in one approach, hit its limitations, then pivot to the other. The data lakehouse architecture represents something different—a genuine synthesis that addresses the fundamental trade-offs that forced us to choose between […]
Read more →Tips and Tricks – Implement Idempotent ETL with Merge Statements
Use MERGE (upsert) for safe, rerunnable data pipelines that handle duplicates gracefully.
Read more →Azure OpenAI Service with Python: Building Enterprise AI Applications
After spending two decades building enterprise applications, I’ve watched countless “revolutionary” technologies come and go. But Azure OpenAI Service represents something genuinely different—a managed platform that brings the power of GPT-4 and other foundation models into the enterprise with the security, compliance, and operational controls that production systems demand. Here’s what I’ve learned from integrating […]
Read more →Tips and Tricks – Apply Strangler Fig Pattern for Legacy Migration
Gradually replace legacy systems by routing traffic to new implementations incrementally.
Read more →Tips and Tricks – Implement Domain Events for Loose Coupling
Use domain events to decouple components and enable reactive architectures.
Read more →Claude API Deep Dive: Building with Anthropic’s Models
A comprehensive guide to the Anthropic Claude API covering Claude 3.5 Sonnet, tool use, vision, computer use, and production best practices.
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