Easy and Efficient Data Validation with Cats
Explore efficient data validation using Cats library in Scala. Learn expressive techniques for robust request validation, focusing on easy-to-use data types and approachable syntax without deep category theory knowledge.
Building High Available Systems with Akka Distributed Data
Learn to build highly available distributed systems using Akka Distributed Data. Explore CRDTs, data replication, and practical implementation with a live demo.
Building Reactive GraphQL Apps with Apollo
Explore reactive GraphQL app development using Apollo, focusing on real-time updates, database integration, and simplified data management for collaborative applications.
Asynchronous & Offline Magic Tricks on React Native
Discover techniques for handling asynchronous and offline scenarios in React Native, enhancing user experience with weak or no network connectivity.
Dealing with JSON Data in a Strongly Typed Application
Exploring TypeScript-based JSON decoding for React Native apps to prevent runtime errors and ensure data integrity when handling server responses.
Evaluating GraphQL for Setting Up an Enterprise-Grade Data Mesh
Explore how GraphQL can establish an enterprise-grade data mesh, focusing on decentralized ownership, data as a product, self-serve infrastructure, and federated governance.
Bringing Data to Your Client-Side Apps
Explore patterns and libraries for integrating data into client-side applications, enhancing your ability to leverage collected information effectively in web development.
Toward a High-Performance JSON Protocol - Notes
Explore high-performance JSON protocols with Daniel Austin, covering motivation, design decisions, and future possibilities for faster data transmission and processing.
Dirty NoSQL
Explore NoSQL concepts through a 150-line JSON log implementation, covering benchmarks, flexible guarantees, and replication in this JSConfEU 2010 presentation.
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.
Dat - An Open Source Tool for Sharing and Collaborating on Data
Explore Dat, an open-source tool for data sharing and collaboration. Learn about its features, applications in reproducible science, and how it aims to revolutionize data management like Git did for source control.
Versioning, Syncing & Streaming Large Datasets Using DAT + Node
Explore versioning, syncing, and streaming large datasets using DAT and Node.js. Learn about open-source tools for efficient data collaboration, reproducibility, and building cross-platform data pipelines.
Building a Distributed Data Ingestion System with RabbitMQ
Learn to build a distributed data ingestion system using RabbitMQ for cross-region data replication and processing. Explore Federation, multi-protocol support, and sharded queues with Consistent Hash Exchange.
GraphQL, the Domain Way
Explore how GraphQL enables teams to handle complex data by focusing on their domains of expertise, with strategies for effective implementation and collaboration.
A/B Testing and Canary Releases - Why, What, and How?
Explore A/B testing and canary releases for product development. Learn tools, strategies, and pitfalls in experimentation, data collection, and analysis to optimize your development process.
Sensitive Data in the Cloud? You Can't Do That!
Explore secure handling of sensitive medical data in the cloud, challenging traditional views and discussing practical solutions using Microsoft Azure principles applicable across platforms.
Streams, Lakes and Oceans - Working with Big Data with Azure ML
Explore big data architectures with Azure ML Studio, covering integration, customization, and scaling for effective machine learning on large datasets.
Data + Docker = Discombobulating
Explore techniques for data persistence in Docker environments, balancing long-term data storage with container ephemerality. Learn practical solutions for various scenarios.
0-60 in the .NET Framework - Software Development for Formula 1
Explore McLaren Racing's F1 software development, from race-critical systems to cutting-edge innovations, and learn how they support engineers across diverse scenarios in this high-stakes industry.
Efficient Time Series with PostgreSQL
Explore efficient time series data management in PostgreSQL, covering data models, access patterns, and scalability. Learn how this versatile SQL database can handle time series at scale, reducing system complexity.
Building Data Intensive Microservices with Apache Kafka
Learn to scale microservices for big data workloads using Apache Kafka's messaging system and ecosystem, enabling high-volume data handling and efficient pub-sub capabilities.