From Transactions to Insights: How OLTP and OLAP Work Together in Modern Data Pi

<p>Modern organizations generate enormous amounts of data every day.</p> <p>Every customer purchase, bank transaction, online order, employee record, product update, and website

<p>Data is no longer treated as a byproduct of business operations and has become one of the most valuable organizational assets. Every interaction on a banking application,

<h2> Introduction </h2> <p>Data engineering is the practice of designing and building systems for collecting, storing, transforming, and managing data so it can be safely used for

<p>PostgreSQL → DuckDB → SQL Engine → Parquet →And beyond ....</p> <p><strong>A Local-First Analytics Pipeline</strong></p> <p>Data teams often spend more time operating

<p>This week’s headlines highlight the rapid evolution of AI in China, with models like Qwen and DeepSeek pushing the frontier of capability. But as these models grow more

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<p>Here is one of the strangest and most consequential plot twists in the history of data infrastructure: over the past decade, the analytics industry deliberately moved its data