In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Single-cell genomics has now made it possible to create a comprehensive atlas of human
cells. At the same time, it has reopened definitions of a cell's identity and of the ways in …

Apache Spark: a unified engine for big data processing Page 1 56 COMMUNICATIONS OF THE
ACM | NOVEMBER 2016 | VOL. 59 | NO. 11 contributed articles DOI:10.1145/2934664 This …

Big data has become an important issue for a large number of research areas such as data
mining, machine learning, computational intelligence, information fusion, the semantic Web …

Spark SQL is a new module in Apache Spark that integrates relational processing with
Spark's functional programming API. Built on our experience with Shark, Spark SQL lets …

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 …

Large-scale data analytics frameworks are shifting towards shorter task durations and larger
degrees of parallelism to provide low latency. Scheduling highly parallel jobs that complete …

Large spatial data becomes ubiquitous. As a result, it is critical to provide fast, scalable, and
high-throughput spatial queries and analytics for numerous applications in location-based …

Inter-coflow scheduling improves application-level communication performance in data-
parallel clusters. However, existing efficient schedulers require a priori coflow information …

While “big data” has become a highlighted buzzword since last year,“big data mining”, ie,
mining from big data, has almost immediately followed up as an emerging, interrelated …