Selecting a database is like designing the foundation of a structure. A structure constructed on a defective foundation will ultimately collapse, and also, a database chosen without a deep understanding of data consistency models will inescapably beget disastrous failures as a service scales. In this post, I’ll give a deep-dive analysis of the two opposing worlds—ACID and BASE—grounded on the trials, crimes, and architectural dilemmas I’ve faced throughout my career. Table of Contents 1. Introduction: The Perpetual Dilemma of Consistency 2. ACID: The Perfectionist Heart of RDBMS 3. BASE: The Flexible Soul of NoSQL 4. The CAP Theorem & PACELC: The Laws We Cannot Break 5. Personal Narrative: When I Switched from RDBMS to NoSQL (and Why) 6. The Ultimate Selection Strategy: Choosing for Your Business 7. Conclusion: Toward Polyglot Persistence 1. Introduction: The Perpetual Dilemma of Consistency As a developer, what’s the utmost spine-nipping moment you can imagine? For me, it’s enteri...

As the pace of Digital Transformation( DX) accelerates, the demand for  robotization has evolved. It's no longer just about" replacing  repetitive tasks" but about creating systems that can"  suppose and decide on their own." This is the core of Hyperautomation.  Drawing from my times of experience leading  robotization systems, I want to partake my  perceptivity on how the community between RPA and AI transforms the plant. This  companion provides a detailed roadmap for those looking to apply these technologies successfully.  Table of Contents 1. Prologue: Why Rule-Based RPA Is No Longer Enough 2. Defining Hyperautomation: The Evolution of Digital Labor 3. The 3 Key Munitions of AI-Powered RPA 4. Field Report: Success Stories From Manual Labor to Strategy 5. 5-Step Roadmap for Fail-Proof Intelligent Automation 6. Realistic Constraints and Considerations for Success 7. Conclusion: Beyond Efficiency — The Future of Human-Robot Concurrence 1. Prolog...