Sarcouncil Journal of Engineering and Computer Sciences
Sarcouncil Journal of Engineering and Computer Sciences
An Open access peer reviewed international Journal
Publication Frequency- Monthly
Publisher Name-SARC Publisher
ISSN Online- 2945-3585
Country of origin-PHILIPPINES
Impact Factor- 3.7
Language- English
Keywords
- Engineering and Technologies like- Civil Engineering, Construction Engineering, Structural Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Telecommunication Engineering, Communication Engineering, Chemical Engineering
Editors

Dr Hazim Abdul-Rahman
Associate Editor
Sarcouncil Journal of Applied Sciences

Entessar Al Jbawi
Associate Editor
Sarcouncil Journal of Multidisciplinary

Rishabh Rajesh Shanbhag
Associate Editor
Sarcouncil Journal of Engineering and Computer Sciences

Dr Md. Rezowan ur Rahman
Associate Editor
Sarcouncil Journal of Biomedical Sciences

Dr Ifeoma Christy
Associate Editor
Sarcouncil Journal of Entrepreneurship And Business Management
Scaling to Billions: The Distributed Systems Magic Behind Massive Data Stores
Keywords: Distributed systems, Data partitioning, Replication strategies, Consistency models, Scalable query processing.
Abstract: Ever wondered how your favorite online services handle billions of users and mountains of data without breaking a sweat? This article dives into the secret sauce: the architectural magic of distributed systems. We'll explore how these systems conquer immense scale by intelligently splitting vast datasets across thousands of machines. You'll discover the clever redundancy tricks that keep everything running smoothly, even when hardware inevitably fails, and how different data replication strategies balance constant availability with blazing-fast performance. We'll also unravel the fascinating world of consistency models, showing how systems make smart tradeoffs between perfect data accuracy and lightning-quick responses. Finally, we'll peek into cutting-edge query processing techniques that pull answers from petabytes of data in milliseconds, thanks to innovations like "learned indexes," multi-level caching, and smart columnar storage. Through real-world examples from e-commerce giants, social media networks, and cloud powerhouses, you'll see how these principles turn the impossible into everyday reality for managing data on an epic scale.
Author
- Manivannan Dhanasekaran
- AI/ML Engineering Leader USA