In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match. While the use of Hadoop to store and analyze Big Data generates tremendous business opportunity, it can prove a complex task for CIOs, CTOs, and the IT organizations responsible for Big Data success. To obtain business value from Big Data quickly and consistently, enterprise IT teams need to overcome well-known obstacles in making data in Hadoop available to broad communities of users and in managing a non-traditional, scale-out Big Data system