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This slides are a summarized course for Apache Airflow (Concept, Methdology and Use Cases)
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.
The journey of modern computing is marked by a relentless pursuit of efficiency and decoupling. This article traces the fundamental shift from the Virtualization Era, which first broke the link between hardware and software, to the modern Containerization Revolution. Understand how sharing the host OS kernel has enabled the lightweight, portable, and fast environments that power today’s microservices and global-scale systems.
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.
Modern data platforms often struggle to scale not because of tool limitations, but due to a lack of architectural clarity. This article explores a shift from tool-centric thinking toward a robust, layered perspective. By decoupling responsibilities into four core horizontal layers (Acquisition, Processing, Abstraction, and Consumption) and supporting them with vertical operational pillars like Governance and Security, organizations can build resilient systems that scale both technically and organizationally.