It is hard to think of a technology that is more identified with the rise of big data than Hadoop. Since its creation, the framework for distributed processing of massive datasets on commodity hardware has had a transformative effect on the way data is collected, managed, and analyzed - and also grown well beyond its initial scope through a related ecosystem of open source projects. With 2016 recognized as the 10-year anniversary for Hadoop, Big Data Quarterly chose this time to ask technologists, consultants, and researchers to reflect on what has been achieved in the last decade, and what's ahead on the horizon.