The enormous amounts of data produced in the healthcare sector are managed and analyzed with help Apache Spark, an open-source distributed computing system. This case study examines how Spark is utilized industry to produce data-driven innovations enhance patient care. report gives a general introduction Spark's architecture, advantages, use cases, such as managing electronic health records, pr...

The Offline Software of the CMS Experiment at the Large Hadron Collider (LHC) at CERN consists of 6M lines of in-house code, developed over a decade by nearly 1000 physicists, as well as a comparable amount of general use open-source code. A critical ingredient to the success of the construction and early operation of the WLCG was the convergence, around the year 2000, on the use of a homogeneo...

This case study examines Riot Games' use of Apache Spark and its effects on data processing analytics. Games is a well-known game production studio. The developer Games, best known for the well-liked online multiplayer League Legends, manages enormous volumes produced daily by millions players. handled analyzed this quickly using Spark, distributed computing technology that made insightful find...

Summary Single-cell RNA-seq (scRNA-seq) is increasingly used in a range of biomedical studies. Nonetheless, current RNA-seq analysis tools are not specifically designed to efficiently process scRNA-seq data due to their limited scalability. Here we introduce Falco, a cloud-based framework to enable paralellization of existing RNA-seq processing pipelines using big data technologies of Apache Ha...