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Local Data Storage in Kotlin: Managing Databases in Android Environments
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- FormatePub
- ISBN8235806863
- EAN9798235806863
- Date de parution26/05/2026
- Protection num.Adobe DRM
- Infos supplémentairesepub
- ÉditeurIoakim Ioakim
Résumé
Master Android Data Persistence with KotlinAre you tired of building Android applications that forget everything the moment they are closed? Do you struggle with complex SQL queries, memory leaks, or sluggish user interfaces?Local Data Storage in Kotlin is your definitive guide to engineering robust, offline-first mobile applications. This comprehensive resource bridges the gap between basic UI development and professional software architecture, teaching you how to manage databases securely and efficiently.
What You Will Learn: Foundations of Persistence: Understand the critical differences between volatile memory and physical storage, and master the offline-first application model. Kotlin for Databases: Leverage strict null safety, immutable data classes, and Coroutines to write crash-resistant data layers. SQLite Mechanics: Look under the hood of the Android operating system to write raw SQL commands, handle complex relational joins, and execute secure CRUD operations.
The Room Persistence Library: Replace tedious boilerplate code with elegant, compile-time verified Kotlin annotations. Build one-to-many relationships and deploy automated schema migrations safely. Modern Alternatives: Replace outdated SharedPreferences with asynchronous Jetpack DataStore and manage massive media files using encrypted file storage. Production Readiness: Optimize your queries, implement pagination for massive datasets, and write automated instrumented tests to guarantee your data survives updates.
Whether you are building a simple to-do list or an enterprise-level inventory tracker, this book provides the exact architectural blueprints you need. Stop guessing how your database works and start engineering persistence systems that scale.
What You Will Learn: Foundations of Persistence: Understand the critical differences between volatile memory and physical storage, and master the offline-first application model. Kotlin for Databases: Leverage strict null safety, immutable data classes, and Coroutines to write crash-resistant data layers. SQLite Mechanics: Look under the hood of the Android operating system to write raw SQL commands, handle complex relational joins, and execute secure CRUD operations.
The Room Persistence Library: Replace tedious boilerplate code with elegant, compile-time verified Kotlin annotations. Build one-to-many relationships and deploy automated schema migrations safely. Modern Alternatives: Replace outdated SharedPreferences with asynchronous Jetpack DataStore and manage massive media files using encrypted file storage. Production Readiness: Optimize your queries, implement pagination for massive datasets, and write automated instrumented tests to guarantee your data survives updates.
Whether you are building a simple to-do list or an enterprise-level inventory tracker, this book provides the exact architectural blueprints you need. Stop guessing how your database works and start engineering persistence systems that scale.
