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Uncertainty is a fundamental problem underlying several modern database applications: exploratory queries in databases, data integration, querying information extracted from the Web, queries over sensor networks, scientific data management, reasoning about privacy breaches in data mining and many others. In this talk, I will describe probabilistic databases as a unifying framework to manage the various kinds of uncertainties that arise in these wide range of applications. In a probabilistic database, each data item has a probability of belonging to the database and queries return answers that are ranked by probabilities. The main challenge here is query evaluation. Unlike in traditional databases, some queries have a #P-complete complexity. I will present the results of our study of the complexity of queries and present algorithms and techniques for efficient query evaluation over probabilistic databases. ©2007 Microsoft Corporation. All rights reserved.