Effective query optimization is a core feature of any database management system. While
most query optimization techniques make use of simple metadata, such as cardinalities and …

Next-generation data centric applications often involve di-verse datasets, some very large
while others may be of mod-erate size, some highly structured (eg, relations) while others …

Driven by the dominance of the relational model and the requirements of modern
applications, we revisit the fundamental notion of a key in relational databases with NULL. In …

Big data applications routinely involve diverse datasets: relations flat or nested, complex-
structure graphs, documents, poorly structured logs, or even text data. To handle the data …

Traditional query processing involves a search for plans formed by applying algebraic
operators on top of primitives representing access to relations in the input query. But many …

Driven by the dominance of the relational model, the requirements of modern applications,
and the veracity of data, we revisit the fundamental notion of a key in relational databases …

Big data applications increasingly involve diverse datasets, conforming to different data
models. Such datasets are routinely hosted in heterogeneous stores, each capable of …

Collecting, storing, tracking, and archiving scientific data is the main task of research data
management, being the basis for scientific evaluations. In addition to the evaluation (a …

Answering 2ueries Using Views Page 1 173 CHAPTER 7 Answering 2ueries Using Views he
problem of answering queries using views suggests several theoretical questions. In this …

Probabilistic databases address well the requirements of an increasing number of modern
applications that produce large volumes of uncertain data from a variety of sources …