The data engineering landscape has undergone a fundamental transformation over the past decade. What once required massive Hadoop clusters has evolved into a sophisticated ecosystem of specialized tools: Kafka for ingestion, Spark for processing, and dbt for transformation. Modern Data Stack Architecture The Paradigm Shift: Monolithic → Modular The old approach centered around monolithic platforms […]
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Data Lakehouse Architecture: Bridging Data Lakes and Data Warehouses
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 […]
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