Different application domains including sensor networks, social networks, science, financial services, condition monitoring systems demand the storage of a vast amount of data in the petabytes area. Prominent candidates are Google, Facebook, Yahoo!, Amazon just to name a few.
This data volume can't be tackled with convential relational database technologies anymore, either from a technical or licensing point of view or both. It demands a scale-out environment, which allows reliable, scalable and distributed processing. This trend in Big Data management is more and more approached with NoSQL solutions like Apache HBase on top of Apache Hadoop.
This session discusses big data management and their scalability challenges in general with a short introduction into Apache Hadoop/HBase and a case study on the co-existence of Apache Hadoop/HBase with Firebird in a sensor data aquisition system.