The growing adoption of Hadoop and Spark has increased the demand for Big Data management solutions that operate at scale and meet business requirements. However, Big Data organizations realize quickly that scaling from small, pilot projects to large-scale production clusters involves a steep learning curve. Despite tremendous progress, there remain critically important area, including multi-tenancy, performance optimization, and workflow monitoing where the DevOps team still needs management help. In this webinar, field engineer Kirk Lewis discusses the top considerations when choosing a big data management and performance solution.