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57 Data in AI Era : The Modern Cloud Data Stack

  From Data Warehouse to AI-Augmented Enterprise The Modern Cloud Data Stack: How Cloud Platforms Changed Data Engineering — and What They Didn’t Abstract The emergence of cloud-native data platforms fundamentally changed the economics, scalability, and operational model of enterprise analytics. Systems that once required expensive hardware procurement, rigid capacity planning, and highly specialized infrastructure teams can now be provisioned elastically through managed cloud services. This transformation enabled organizations to process data at unprecedented scale while simultaneously accelerating experimentation, analytics delivery, and AI adoption. Technologies such as Snowflake, BigQuery, Databricks, dbt, and cloud object storage redefined how modern data platforms are built and operated. However, while the tooling landscape evolved dramatically, the underlying architectural challenges remained largely unchanged. Organizations still need to solve for: Data integration...
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56 Data in AI Era : From Data Warehouse to AI-Augmented Enterprise

From Data Warehouse to AI-Augmented Enterprise SQL for Data Warehousing: Where Business Logic Becomes Analytical Reality Abstract Dimensional modeling defines how analytical data is structured. SQL operationalizes that structure into usable insight. Despite the emergence of modern orchestration tools, semantic layers, AI-assisted analytics, and low-code platforms, SQL remains the dominant language of analytical systems. This persistence is not accidental. SQL sits at the intersection of data structure, business logic, and computational execution. This article examines SQL in the context of data warehousing—not as a programming language to memorize, but as the mechanism through which organizations encode analytical meaning into operational systems. We explore how warehouse SQL differs fundamentally from transactional SQL, why schema design determines query quality, how modern cloud warehouses optimize analytical workloads, and why SQL continues to underpin AI-era data systems. 1...
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