Data quality determines AI model performance. After managing data quality for 100+ AI projects, I’ve learned what matters. Here’s the complete guide to ensuring high-quality training data. Figure 1: Data Quality Framework Why Data Quality Matters Data quality directly impacts model performance: Accuracy: Poor data leads to poor predictions Bias: Biased data creates biased models […]
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Building the Modern Data Stack: How Spark, Kafka, and dbt Transformed Data Engineering
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 […]
Read more →Tips and Tricks – Apply Strangler Fig Pattern for Legacy Migration
Gradually replace legacy systems by routing traffic to new implementations incrementally.
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