4 Best-Selling Database Sharding Books Millions Trust

Drawing from her experience as a software developer, Kristina Chodorow crafted this concise guide to help you navigate the complexities of scaling MongoDB through sharding and cluster management. You’ll gain practical knowledge about setting up clusters, querying and updating data efficiently in distributed systems, and handling operational tasks like monitoring and backups. The book’s straightforward approach demystifies how to design applications that remain resilient during outages, making it especially useful if you manage growing data loads. If you're looking to understand the nuts and bolts of running MongoDB at scale without wading through unnecessary detail, this book offers clear, focused insights.

Drawing from his extensive experience as a Technical Architect and Microsoft Data Platform MVP, Ahmad Osama offers a focused examination of managing SQL databases in the Microsoft Azure cloud environment. You’ll learn practical skills for migrating on-premise SQL Server databases to Azure, setting up elastic pools and shards for scalability, and automating administrative tasks with PowerShell. The book also tackles crucial topics like backup and restore procedures, security, performance tuning, and disaster recovery, making it a solid resource if you're navigating the complexities of cloud-based database administration. While it assumes some familiarity with SQL Server and scripting, it’s tailored to database administrators and developers aiming to optimize their cloud deployments.

This tailored book explores core database sharding techniques designed to enhance scalability and performance. It covers the principles of data partitioning, shard key selection, and distributed query processing, along with challenges like rebalancing and fault tolerance. By focusing on your interests and experience, it reveals how to design sharding architectures that align with your specific projects and goals. This personalized approach helps you navigate sharding complexities efficiently, blending established knowledge with areas that matter most to you. You'll gain a clear understanding of how to implement scalable distributed databases with confidence and precision.

Manu Sharma, with over 17 years in software development and architecture, crafted this guide to demystify MongoDB’s complex landscape. You’ll gain a thorough grasp of MongoDB basics, CRUD operations, and indexing, progressing into advanced topics like Compass, security, replication, and sharding. For instance, the detailed walkthrough of MongoDB’s aggregation framework and sharding mechanisms equips you to manage distributed databases effectively. This book suits software developers and server administrators eager to implement MongoDB confidently in business environments, offering practical examples without overwhelming jargon.

Drawing from their deep involvement in the development of Apache ShardingSphere, the authors deliver a detailed exploration of this open-source distributed data infrastructure. You learn to navigate core concepts like elastic scaling, sharding, encryption, and governance, with practical guidance on configuring ShardingSphere’s modular components such as ShardingSphere-JDBC and ShardingSphere-Proxy. The book targets database administrators and engineers seeking flexible, more cost-effective distributed database solutions, offering real-world examples that clarify how to integrate and customize ShardingSphere in diverse environments. If you’re aiming to upgrade your DBMS capabilities or migrate to cloud-based distributed databases, this book offers a grounded, technical roadmap without overpromise.