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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

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Database Systems

Strategies for Migration, Management, and Data Quality

Every modern application and organization collects data. With that, there is a constant demand for database systems to expand, scale, and take on more responsibilities. Database architectures have become more complex, and as a result, there are more implementation choices. An effective database management system allows for quick access to database queries, and an organization can efficiently make informed decisions. So how does one effectively scale a database system and not sacrifice its quality?

Our Database Systems Trend Report offers answers to this question by providing industry insights into database management selection and evaluation criteria. It also explores database management patterns for microservices, relational database migration strategies, time series compression algorithms and their applications, advice for the best data governing practices, and more. The goal of this report is to set up organizations for scaling success.

Published: Sep. 22, 2022

Featured Authors

Ted Gooch
Senior Staff Software Engineer, StubHub
Kellyn Gorman
Advocate and Engineer, Redgate
Monica Rathbun
Consultant, Denny Cherry and Associates Consulting
Daniel Stori
Software Development Manager, AWS
Abhishek Gupta
Principal PM, Azure Cosmos DB, Microsoft
Oren Eini
Wizard, Hibernating Rhinos @ayende ‏
Rosana de Oliveira Gomes
Senior Data Scientist, HAKOM TimeSeries
Dr.Magesh Kasthuri
Distinguished Member of Technical Staff, Wipro Limited
Mike Gates
Lauren Forbes
Editor, Self-Employed

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