As a novel computation paradigm, crowdsourcing is being actively pursued in diverse academic disciplines. Within computer science, many sub-fields have embraced the concept of crowdsourcing with open arms and applied the concept to solve diverse challenging problems. Database community is no exception to this phenomenon and there have been many exciting new results using crowdsourcing appearing in recent database literature. This tutorial in particular seeks to cover state-of-the-art crowdsourced algorithms in data management. After gentle introduction on the concept of crowdsourcing, this tutorial provides the overall landscape of crowdsourced database research, with the focus on the latest crowdsourced algorithms that extend conventional database algorithms (e.g., count, sort, match, and search).