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Data Engineering

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Showing posts for the Data Engineering subcategory within Data Technologies. Select another category or subcategory to update the list.

Data Technologies / Data Engineering

Airflow Pipeline Mastery - Course

This slides are a summarized course for Apache Airflow (Concept, Methdology and Use Cases)

Apr 21, 2026 Read PDF
Data Technologies / Data Engineering

Mastering Data Pipeline Orchestration with Apache Airflow

In the modern data stack, managing complex dependencies is a critical engineering challenge. This article explores how Apache Airflow has emerged as the industry standard for programmatic workflow orchestration using Directed Acyclic Graphs (DAGs). By adopting a "Configuration as Code" philosophy, teams can apply software engineering best practices—such as version control and CI/CD—directly to their data infrastructure.

Apr 21, 2026 Read PDF
Data Technologies / Data Engineering

An Engineering Executive’s Guide to NoSQL Architectural Patterns

Selecting a database is no longer just a technical choice—it is a strategic decision that dictates a system's ability to scale, recover, and evolve. This guide provides engineering leaders with a high-level framework for understanding NoSQL architectural patterns. It covers the shift from vertical to horizontal scaling, the practical implications of the CAP Theorem, and how to choose between Key-Value, Document, Wide-Column, and Graph models to meet specific business objectives.

Apr 21, 2026 Read PDF