Supporting a high-throughput distributed database like VoltDB in long-term, real-world deployments quickly demonstrates that many assumptions about traditional database systems or failure models are invalid. This talk will focus on determinism and the role it plays in VoltDB applications, and will answer the following questions: What is determinism in the …
Everyone knows that big data is here to stay, and one of the best NoSQL solutions out there is Hadoop. MySQL DBAs will need to know when to adjust and leverage Hadoop within their environment and even start using and administering Hadoop clusters.
What if you could have rich SQL database functionality as a continuously available service without having to worry about purchasing, installing and maintaining database server hardware and software? Well you can, it’s called SQL Azure Database.
The MapReduce programming model enables developers without experience with parallel or distributed systems to use the resources of a large system and process big data. Apache Hadoop implements the MapReduce model. The combination of the RDBMS and MapReduce is being researched.
The presence of new technologies like social media, email, blogs, GIS, RFID and smart devices have opened for new opportunities in building information based services that align and operate on huge quantities of data.
What is the best data storage option for your application? We have an abundance of conventional wisdom when it comes to building applications on top of a relational database in the Ruby world. Building an application on top of a NoSQL database is a different story.
