Database KnowHow
CAP Theorem
A statement that claims that in distributed systems you cannot have consistency, availability and partition tolerance all at the same time (Wikipedia)
Call me maybe
An informative and entertaining speech by Kyle Kingsbury during RICON 2013 about network partitions and how NoSQL databases behave under these conditions:
Video | GitHub | Slides (mentioned at InfoQ) | InfoQ «Part 2» | investigating ElasticSearch | all at InfoQ
Database Products
Graph Databases
| Product | Platform | Access | Tutorials, Webinars, Articles, Books |
|---|---|---|---|
| Neo4j | Java | Spring-Data-Neo4J JDBC | Get started Watch Neo4j Lessons learned (pre 2.x) Mobile app based on Neo4j, Modelling Tips Events Free eBook: Good RelationshipsUse Cases |
Conferences / Events
Articles
Managing Hierarchical Data in MySQL
Most users at one time or another have dealt with hierarchical data in a SQL database and no doubt learned that the management of hierarchical data is not what a relational database is intended for. The tables of a relational database are not hierarchical (like XML), but are simply a flat list. Hierarchical data has a parent-child relationship that is not naturally represented in a relational database table. [read more]
Turning the database inside-out with Apache Samza
This Blog post is an edited and expanded transcript of a talk given at Strange Loop 2014. The video recording (embedded below) has been watched over 8,000 times. For those of you who prefer reading this blog post is for you!
Base: An Acid Alternative
In partitioned databases, trading some consistency for availability can lead to dramatic improvements in scalability.