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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
Partner Zones
AWS Cloud
by AWS Developer Relations
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  3. Data Persistence
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Data Persistence

At the core of every modern application is an endless, diverse stream of data and with it, an inherent demand for scalability, increased speed, higher performance, and strengthened security. Although data management tools and strategies have matured rapidly in recent years, the complexity of architectural and implementation choices has intensified as well, creating unique challenges — and opportunities — for those who are designing data-intensive applications.

DZone’s 2021 Data Persistence Trend Report examines the current state of the industry, with a specific focus on effective tools and strategies for data storage and persistence. Featured in this report are observations and analyses of survey results from our research, as well as an interview with industry leader Jenny Tsai-Smith. Readers will also find contributor insights written by DZone community members, who cover topics ranging from microservice polyglot persistence scenarios to data storage solutions and the Materialized Path pattern. Read on to learn more!

Published: Feb. 26, 2021

Featured Authors

Claudio Guidi
Architect, italianaSoftware s.r.l.
Grant Fritchey
Product Advocate, Red Gate Software
Thomas Hansen
CEO, Aista, Ltd

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