Today’s Big Data management systems and services are increasingly fast but they are not always easy to use. In this talk, we present recent research results around the theme of facilitating the management and processing of Big Data. We first present Presonalized Service Level Agreements, a new type of SLAs for Cloud services, where users can forget about numbers of instances and bytes processed. Instead, users upload their data and are shown a personalized menu of fixed hourly prices associated with different query performance and capability choices. Second, once users have access to a data management service, they need to write SQL queries to explore their data. We present SnipSuggest, an autocompletion tool for SQL that provides context-aware assistance in the query composition process. Finally, once the user executes a query, the performance may be different from what they expected. Here, we describe, PerfXplain, a tool for explaining the performance of MapReduce jobs running on a shared-nothing cluster.