A Crowdsourced Map for Checking Supermarket Wait Times Worldwide
Explore the development of a crowdsourced map for tracking supermarket wait times during the pandemic, utilizing Redis, uWSGI, and Flask to scale from a Raspberry Pi to multiple VPS servers.
Using Amazon's Cloud for the SQL Server Professional
Explore Amazon Web Services for SQL Server pros: EC2, S3, RDS, NoSQL, and more. Learn to leverage cloud storage, virtual machines, and PaaS solutions for efficient data management and processing.
Using Graph Databases to Understand Complexly Connected Data - Application Development
Explore Neo4j and graph databases, their use cases, and advantages over relational databases. Learn about property graph models, query languages, and practical applications in data analysis.
Cosmic DB - Cosmos DB for SQL Server Admins and Developers
Explore Cosmos DB's NoSQL approach, indexing, consistency levels, and JSON design for SQL professionals. Learn to leverage schema-free advantages and optimize query patterns in document-based databases.
Relational Data Modeling Trends for Transactional Applications
Explore modern data modeling trends for transactional applications, addressing challenges in NoSQL, microservices, and cloud environments. Learn to adapt traditional principles to meet current business demands and facilitate rapid changes.
A Game of Hierarchies - Graph Processing with SQL Server 2019
Explore hierarchies and graph processing in SQL Server 2019 using "Game of Thrones" examples. Learn best practices for transforming complex data structures into useful information.
SQL and MongoDB - When Two Worlds Collide
Explore hybrid SQL-NoSQL solutions, focusing on integrating MongoDB with SQL Server. Learn scenarios, implementation techniques, and performance considerations for leveraging strengths of both database types.
Data Modeling and Partitioning Patterns in Azure Cosmos DB
Explore key strategies for effective data modeling and partitioning in Cosmos DB, using real-world examples to optimize performance and scalability in NoSQL database design.
What's Your Bacon Number - An Introduction to Graph Databases
Explore graph databases using IMDB data to calculate Bacon Numbers. Learn graph theory, database types, and practical applications with Azure Cosmos DB and Gremlin API.
SQL Professional to Cosmic Superstar in 75 Minutes
Transition SQL Server skills to CosmosDB: Learn NoSQL concepts, JSON, multi-models, and key differences in monitoring and data structure. Prepare for a new approach to database management and optimization.
Model and Partition Data for Azure Cosmos DB
Learn to migrate relational data to NoSQL for e-commerce, focusing on modeling and partitioning techniques in Azure Cosmos DB. Discover how NoSQL enables unlimited scale with millisecond response times.
Core Data Migrations - Can We Do Better?
Explore Core Data migration strategies, from lightweight to custom, and discover a NoSQL alternative that eliminates data model requirements for easier schema changes.
Swift Server Update
Swift Server Work Group's progress, incubation process, and active projects for server-side Swift development. Highlights ecosystem growth and opportunities for community involvement.
Cartography - Using Graphs to Improve and Scale Security Decision-Making
Explore Cartography, an open-source tool for visualizing and securing cloud-native assets. Learn how to improve decision-making, track changes, and understand security risks across platforms.
How to Build a Cloud Native Image Recognition Solution
Learn to build a cloud-native image recognition solution using Fn Project, AutoML NLP, and Kubernetes. Discover how to create serverless functions, leverage machine learning for document analysis, and store data in NoSQL databases.
Application Autoscaling Made Easy With Kubernetes Event-Driven Autoscaling
Learn how Kubernetes Event-Driven Autoscaling (KEDA) simplifies application scaling based on external providers like Kafka, Azure, AWS, and GCP. Discover its ease of use and versatility for various scenarios.
Type Safety in the World of Graph Databases
Explore type safety in graph databases, focusing on SPARQL, Gremlin, and custom DSLs for efficient data traversal and error prevention in Scala.
Building Billion Node Graphs for Machine Learning
Explore building billion-node graphs for machine learning, covering data ingestion, graph management, and algorithm execution at scale. Learn about challenges and solutions in handling massive datasets for GraphML research.
Data Indexing with RGB - Ruby, Graphs and Bitmaps
Explore data indexing using Ruby, graph databases, and bitmap stores to build a unique data engine, improving query speed and enabling cross-market analysis and harmonization.
Cayley - Building a Graph Database
Explore the architecture and components of Cayley, a Go-based graph database inspired by Freebase.com, including query languages, storage engines, and iterator trees.
Designing Software Within Constraints - Building to a Specification
Explore software design within constraints, balancing language-agnostic specs with Go's principles. Learn from MongoDB's Go driver example, covering design, performance, and usage patterns.