In healthcare, education, large companies, and scientific research, extensive
data have played a critical role. Big data analytics demand modern tools and
technologies to store, process, and analyse large data volumes. Big data comprise
extensive unstructured data, which needs to be examined in real-time before making
use of it. Many academics are interested in advanced technologies and methods to
tackle the problems in comprehensive data management. The business enterprises,
public sector, and academic institutions have received considerable attention due to
their Big Data. This chapter summarises the latest algorithms involved in Big Data
processing and the associated features, applications, possibilities, and problems. This
chapter also provides an overview of the state-of-the-art algorithms for processing big
data and challenges in human-computer interaction with big data analytics.
Keywords: Astrophysical computations, Big data analytics, Cloud computing, Constraint satisfaction problem, Electronic medical records, FMRI, Geospatial modeling, Graph data, Internet of everything, IoT, Hadoop-based technologies, Hybrid clouds, MRI, Quantum mechanical medialization, RDBMS, Satellite imaging, Sensors, Text data, Radar, World wide web.