Local Data Storage in Kotlin : Managing Databases in Android Environments

Andrei Vale

ISBN 13: 9798198702547

Published by Independently Published Mai 2026, 2026

About this Item

Neuware - 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 Build one-to-many relationships and deploy automated schema migrations safely.- Modern Alternatives: Replace outdated SharedPreferences with asynchronous Jetpack DataStore and manage massive media files using encrypted file storage.- Production Readiness: Optimize your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.

Seller Inventory # 9798198702547

Bibliographic Details

• Title: Local Data Storage in Kotlin : Managing Databases in Android Environments
• Publisher: Independently Published Mai 2026
• Publication Date: 2026
• Language: English
• ISBN 13: 9798198702547
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 24D millimeters 229 millimeters width by 152 millimeters height by 24 millimeters depth
• Weight: 622 grams

About this title

Synopsis

Master Android Data Persistence with Kotlin

Are 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.