In blazing speed we will cover the most important features of MySQL Cluster 7.1: NDB$INFO; MySQL Cluster Connector/Java and a bunch of other features that push the limits of MySQL Cluster into new workloads and communities
NDB$INFO presents real-time usage statistics from the MySQL Cluster data nodes as a series of SQL tables, enabling developers and administrators to monitor database performance and optimize their applications
Designed for Java developers, the MySQL Cluster Connector for Java implements an easy-to-use and high performance native Java interface and OpenJPA plug-in that maps Java classes to tables stored in the MySQL Cluster database.
Bernhard Ocklin, MySQL Cluster Engineering Manager responsible for the team of MySQL Cluster developers, joined the MySQL organization as of September 2005. He first worked as a solution architect for high available database and cluster solutions and is now responsible for MySQL Cluster development at Sun. To his credit, Bernhard has designed and programmed data mining software in addition to writing a database core prior to using MySQL databases. The outcome of such work has proven extremely useful in big scale data processing, i.e., for fraud detection at the world’s largest derivatives exchange.
Andrew is the MySQL Product Manager responsible for High Availability Solutions – in particular MySQL Cluster and replication. He is based in United Kingdom and has worked for MySQL/Sun/Oracle since February 2009.Before joining MySQL he was responsible for delivering High Availability telecoms applications which is where he became exposed to MySQL Cluster – replacing proprietary and other 3rd party databases. His primary roles in MySQL are working with engineers to make sure that MySQL Cluster & replication evolve to meet the needs of their users as well as spreading the word on the what people can get from these technologies.
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