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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Last call! Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Look Inside
DZone's Guide to

Database & Persistence Management

The DZone Guide to Database and Persistence Management is a valuable handbook for understanding and conquering the challenges posed by modern database usage.

Free 36-page ebook
Download
18.0K

DZone Member Feedback

"To-the-point and useful for keeping on the desk for quick reference."

Joseph Bonello , DZone Reader

"It's exactly what I need for a major project. It clarifies terminology, bins the products, and opens up ideas on using databases."

John Jorgensen , DZone Reader

"I thought it was well-written, informative, and it had plenty of coverage of both SQL and "NewSQL" databases."

Michael Peacock , DZone Reader

"This (along with all DZone guides) gives a panoramic view of the state of the databases."

Marco Gasi , DZone Reader

Download

Table of Contents

2
Letter From the Editor
3
Summary & Key Takeaways
4
Key Research Findings
6
A Review of Persistence Strategies
10
Firebase, Meteor & Cognito: Just Enough Database for a Mobile World
14
The State of the Storage Engine
16
The Mixology of Databases
18
3 Reasons Why It’s Okay to Stick With SQL
22
How to Manage Deterministic Data-driven Services
25
Diving Deeper Into Database & Persistence Management
26
Data Migration Checklist
27
Solutions Directory
36
Glossary
Download

Featured Authors

ANDREW OLIVER
Ben Teese
B Jones
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Peter Lawrey

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