Understanding Big Data for Software Engineers
Comprehensive overview of big data technologies and paradigms for software developers, exploring data warehouses, lakes, streams, SQL, NoSQL, and their roles in modern distributed systems.
Non-relational Database Design Patterns: Shopify's Approach for Business Scalability
Explore distributed architectures and flexible schemas for massive datasets using Google Cloud's databases, featuring Shopify's use of Bigtable for critical business operations.
Handling Billions of Edges in a Graph Database
Explore techniques for managing massive graph databases with billions of edges, focusing on scalability, performance optimization, and efficient data handling in complex network structures.
Busy Developer's Guide to MeteorJS
Comprehensive guide to MeteorJS, covering installation, syntax, features, and practical application development. Ideal for developers seeking to leverage JavaScript across all application tiers.
Using Open Source Techs to Unearth the Stories of the Panama Papers
Explore how journalists used Apache Solr, Tika, and Neo4j to investigate the Panama Papers, uncovering hidden connections and stories within massive leaked financial documents.
What Business Can Learn from Dating
Explore innovative data handling techniques from online dating platforms using graph databases and algorithms to improve customer service, retention, and fraud prevention in business.
Riak, Redis, Apache Solr & Spark - Deploying with the Basho Data Platform
Explore deploying Riak, Redis, Apache Solr & Spark using Basho Data Platform. Learn integration strategies for smooth operation from prototype to production.
How Platforms Work
Explore six key characteristics of mature production environments, with insights on Cloud Foundry and a live demo showcasing deployment, Redis integration, and crash recovery.
Java-Based Microservices, Containers, Kubernetes - How To
Learn to create, containerize, and deploy Java-based microservices using Spring Boot, Maven plugins, and Kubernetes. Explore practical techniques for building and managing a fleet of microservices with dependent components.
Working on Cancer
Exploring whole genome sequencing for cancer treatment using Clojure, Neo4j, and domain-specific languages. Discusses challenges, solutions, and non-traditional team approaches in clinical settings.
IoT, JavaScript and Beer Brewing - Cheers to That!
Explore IoT device hacking and beer brewing using JavaScript, microcontrollers, and serverless technologies. Learn to collect, process, and analyze fermentation data with open-source tools.
Cypher Sleuthing - Tips and Tricks for Querying a Graph Database
Explore graph database querying techniques, Cypher language essentials, and APOC library usage to optimize performance and avoid common pitfalls in graph data manipulation.
Bootiful Multi Model Applications with Redis Stack
Explore building Spring Boot applications with Redis Stack, leveraging multiple data models and functionalities like document store, graph database, and full-text search through Redis OM Spring.
How Graph Data Science Can Turbocharge Your Knowledge Graph
Explore how Graph Data Science enhances Knowledge Graphs, offering powerful insights through centrality algorithms and node embeddings. Learn applications in drug discovery and get started with Neo4j.
Dungeons, Dragons, and Graph Databases
Explore graph databases through a D&D lens. Learn how to model complex relationships, write efficient queries, and optimize your dungeon crawl using this powerful database technology.
Sharing 2 Years Experience Using Scala in a Real Project by a Java Team
Insights and experiences from a Java team's 2-year journey adopting Scala/Akka, covering best practices, pitfalls, and lessons learned in functional programming and interoperability with Java and Groovy.
Graph Databases and the Panama Papers
Explore the Panama Papers leak using graph databases, focusing on how ICIJ utilized this technology to analyze 3TB of data and provide an accessible interface for investigative journalists.
Semantic Event Sourcing - Case Study of Moving from CRUD to Log Based State Management
Explore log-based state management for robust, scalable data systems. Learn techniques for efficient multi-dimensional time series traversal and improved data utility, applicable beyond master data management.
Streaming ETL on the Shoulders of Giants
Explore configuration-based streaming ETL pipelines between MongoDB and Apache Kafka using Kafka Connect framework, focusing on data integration scenarios without coding.
10 Things You Didn't Know Your Data Can Do for You
Discover 10 ways to maximize your data's potential, from simplifying infrastructure to automating workflows. Learn how modern applications can design, grow, and secure data while deriving insights and enhancing user experiences.
Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs
Explore advanced cardinality estimation techniques for graph databases, focusing on optimistic and pessimistic estimators through cardinality estimation graphs and their practical applications in query optimization.