The challenges of Big Data are frequently explained by dealing with Volume,
Velocity, Variety and Veracity. The large variety of data in organizations
results from accessing different information systems with heterogeneous
schemata or ontologies. In this talk I will present the research efforts that
target the management of such broad data.
They include: (i) an integrated development environment for programming with
broad data, (ii) a query language that allows for typing of query results,
(iii) a typed lambda-calculus based on description logics, and (iv) efficient
access to data repositories via schema indices.