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.
Common approaches and frameworks for handling Big Data (like Apache Hadoop) operates by running the data processing jobs in batch. Now, this batch-based approach does not work well if you need to process and show results in real time. Storm is an open source framework from Twitter that targets this gap, allowing for real time processing of big data streams.
In this presentation we will give an overview of its scalable arhitecture, show examples of real life applications and demonstrate how simple it is to get started.
Recorded 13 March 2013 at the Booster conference in Bergen, Norway.