Spanner - Fully Managed Horizontally Scalable Relational DB with ACID Transactions
Explore Spanner's scalable relational database capabilities through live coding demos, covering setup, schema design, and query optimization for handling terabytes of data efficiently.
Moving Beyond REST - GraphQL and Java & Spring
Explore GraphQL as a flexible alternative to REST APIs, learning its basics, implementation with Java and Spring Boot, and advantages in API development and consumption.
How to Be Pythonic - Design a Query Language in Python
Explore the design of WOQLpy, a Python query language for TerminusDB. Learn about challenges, methods, and best practices in creating Pythonic packages, with interactive discussions on effective Python design.
Everything You Know About MongoDB is Wrong
Debunking MongoDB myths: ACID compliance, transactions, schemas, security, and best practices for development. Insights into MongoDB's evolution and current capabilities.
Adding Data Quality - Kimball Data Warehouse
Learn to enhance small to mid-size Kimball data warehouses with a design architecture for capturing, measuring, and relating data quality issues to existing fact and dimension tables.
Eliminating Anti-Patterns and RBAR for Faster Performance
Learn to boost SQL Server performance by identifying and fixing schema and code design issues, focusing on real-world examples and reproducible workloads to achieve faster query execution and better scalability.
NoSQL Data Modeling for Front-end Developers
Learn NoSQL data modeling techniques for front-end developers to improve API design, application flow, and performance while avoiding common pitfalls in flexible schema databases.
GraphQL Performance and Monitoring
Explore GraphQL performance optimization techniques, focusing on schema structuring and data loaders to enhance efficiency in handling nested API calls and complex queries.
The Apollo Cache is Your Friend, if You Get To Know It
Explore Apollo cache's functionality, importance of IDs, and leveraging it through querying, mutating, and schema design. Learn caching patterns and best practices used at Shopify for efficient data management.
Schema Liberation with JSON and PLV8
Explore JSON integration in Postgres using PLV8, enabling flexible schema design and efficient data management. Learn from Mozilla's production use case for crash reporting.
Unified Redfish Schema for Managing OCP Liquid Cooling Equipment
Explore the development of unified management schemas for liquid cooling systems, including CDUs, immersion cooling, and heat exchangers, with practical demonstrations and implementation examples.
Creating Terraform Providers - When Infrastructure as Code Ends
Explore Terraform provider creation, from architecture to publishing. Learn key concepts, hands-on development, and best practices for extending infrastructure as code capabilities.
Billions of Records in MySQL: Lessons Learned
Explore strategies for managing billions of MySQL records, covering optimization, storage engines, schema design, and backup techniques for large-scale databases.
How Increasing Partition Size in Apache Cassandra Can Reduce Disk Usage by Over 30%
Optimize Apache Cassandra storage by increasing partition size, reducing disk usage by 30%+. Learn from Instaclustr's experience in managing large-scale metrics data efficiently.
Migrate Your APIs to GraphQL - How and Why
Explore GraphQL migration for APIs, focusing on consistency, efficiency, and client-specific data delivery. Learn from Expedia's experience in improving API functionality and technical aspects.
An Update on Khepri Adoption in RabbitMQ
Explore Khepri's evolution, its benefits for RabbitMQ users, and the timeline for its integration into a GA release. Learn about the next-gen schema database's progress and potential impact.
Building a GraphQL API - Beyond the Basics
Explore advanced GraphQL API development in Drupal, covering schema design, operations implementation, and modular API construction for enhanced usability and functionality.
Rust AI Function Calling Tutorial - Using async-openai
Comprehensive tutorial on implementing AI function calling in Rust, covering setup, chat functionality, tool calls, responses, refactoring, and concurrent requests using OpenAI API.