Topic mix
Databases
14 moments from 10 videos · 39:35 min total
Compare database designs, transaction isolated levels, and horizontal scaling techniques. These curated conference clips assist developers in choosing and operating production databases.
Play section Storing events using globally distributed databases
Storing events using globally distributed databases
Multimodal document databases offer native change feeds for separation of commands and queries.
Storing events using globally distributed databases
Multimodal document databases offer native change feeds for separation of commands and queries.
Play section Managing application isolation via pluggable database models
Managing application isolation via pluggable database models
Reducing storage friction for independent microservices requires pluggable layer abstractions virtualizing discrete databases over one unified administrative footprint.
Managing application isolation via pluggable database models
Reducing storage friction for independent microservices requires pluggable layer abstractions virtualizing discrete databases over one unified administrative footprint.
Play section Evaluating performance characteristics of multi-model databases
Evaluating performance characteristics of multi-model databases
Analyzing operational benchmarks reveals that converged database engines routinely outperform single-function specialized databases across diverse transaction types.
Evaluating performance characteristics of multi-model databases
Analyzing operational benchmarks reveals that converged database engines routinely outperform single-function specialized databases across diverse transaction types.
Play section Evolution of distributed SQL database management systems
Evolution of distributed SQL database management systems
How modern distributed relational databases enable horizontal scaling for analytical and operational workloads.
Evolution of distributed SQL database management systems
How modern distributed relational databases enable horizontal scaling for analytical and operational workloads.
Play section Options for database machine learning integration architectures
Options for database machine learning integration architectures
Utilizing tools like Apache Spark, Python libraries, and vector embeddings to perform machine learning near or within databases.
Options for database machine learning integration architectures
Utilizing tools like Apache Spark, Python libraries, and vector embeddings to perform machine learning near or within databases.
Loading the rest of your playlist…
Your mix. Instantly.
More mixes
AI & Machine Learning
AI coding agents
AI & Machine Learning
MCP (Model Context Protocol)
AI & Machine Learning
RAG
Languages & Frameworks
TypeScript
Languages & Frameworks
React
Languages & Frameworks
Java
Cloud, Platform & Data
Platform engineering
Cloud, Platform & Data
Observability
Cloud, Platform & Data
Infrastructure as code
Architecture, Quality & Security
System architecture
Architecture, Quality & Security
Code review
Architecture, Quality & Security
Software supply chain security
Leadership, Career & Community
Engineering strategy
Leadership, Career & Community
Developer experience
Leadership, Career & Community