In recent years, Earth observation (EO) satellites have generated big amounts of geospatial
data that are freely available for society and researchers. This scenario brings challenges for …

Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

Most modern data systems have been designed with two goals in mind–fast ingestion and
low-latency query processing. The first goal has led to the development of a plethora of write …

ABSTRACT A key driver of modern data systems is the requirement for fast ingestion while
ensuring low-latency query processing. This has led to the birth of write-optimized data …

In the face of tight natural resources and complex as well as volatile environments, and in
order to meet the pressure brought by population growth, we need to overcome a series of …

The classical redistribution problem aims at optimally scheduling communications when
reshuffling from an initial data distribution to a target data distribution. This target data …

Due to the scalability problems in traditional relational database systems, a variety of NoSQL
stores have emerged over the last decade to deal with big data. The lack of standard …

Global meteorology data are now widely used in various areas, but one of its applications,
weather analogues, still require exhaustive searches on the whole historical data. We …

Database systems are pervasive components in the current big data era. However,
efficiently managing and querying grid-based or array-based multidimensional climate data …

In this chapter, we come back to the classical matrix product problem that we have
encountered in the introductory chapter. We saw that when the size M of the available …