Apache Spark has emerged as the de facto framework for big data analytics with its
advanced in-memory programming model and upper-level libraries for scalable machine …

Edge intelligence is an emerging concept referring to processes in which data are collected
and analyzed and insights are delivered close to where the data are captured in a network …

Programs that take highly-structured files as inputs normally process inputs in stages: syntax
parsing, semantic checking, and application execution. Deep bugs are often hidden in the …

Big Data analytics for storing, processing, and analyzing large-scale datasets has become
an essential tool for the industry. The advent of distributed computing frameworks such as …

The modern day advancement is increasingly digitizing our lives which has led to a rapid
growth of data. Such multidimensional datasets are precious due to the potential of …

Recently, increasingly large amounts of data are generated from a variety of sources.
Existing data processing technologies are not suitable to cope with the huge amounts of …

Big Data analytics has recently gained increasing popularity as a tool to process large
amounts of data on-demand. Spark and Flink are two Apache-hosted data analytics …

In-Memory cluster Computing (IMC) frameworks (eg, Spark) have become increasingly
important because they typically achieve more than 10× speedups over the traditional On …

Smart urban transportation management can be considered as a multifaceted big data
challenge. It strongly relies on the information collected into multiple, widespread, and …

Big data have become a global strategic issue, as increasingly large amounts of
unstructured data challenge the IT infrastructure of global organizations and threaten their …