Articles by Russell Jurney
Code Alert! This is a part of our continuing series on Engineering at LinkedIn. If this isn’t your cup of Java, check back tomorrow for regular LinkedIn programming. In the meanwhile, check out some of our latest product features, tips and tricks, or user stories. - Ed.
One of the reasons I joined LinkedIn Analytics is its commitment to open source. At LinkedIn, we love open source. We’re committed to contributing to Hadoop and Pig and giving back to the open source community through projects like Azkaban and Voldemort. We are determined to provide the open source community with the complete and painless data cycle that we enjoy – to enable even casual hadoop users to analyze data from their application at scale, to mine it for value and store it easily and reliably so that it can drive use and close the data loop. Look for new open source tools and projects from LinkedIn Analytics in the coming months that will help make this possible!