  In this work, we explore the problem of correctly and efficiently answering
complex SPJ queries issued directly on top of dirty data. We introduce QueryER,
a framework that seamlessly integrates Entity Resolution into Query Processing.
QueryER executes analysis-aware deduplication by weaving ER operators into the
query plan. The experimental evaluation of our approach exhibits that it adapts
to the workload and scales on both real and synthetic datasets.
