Results 31 to 40 of about 13,638 (169)
Lakehouse‐Driven Surgical Databases: Scoping Review and Implementation of a Free Flap Database
The Laryngoscope, EarlyView.Data lakehouse architectures allow clinicians to store, access, query, and analyze massive amounts of clinical data with access to machine learning (ML) and generative artificial intelligence (AI) functions, enabling a fundamentally new model for clinical database development.
Louis‐Xavier Barrette +5 more
wiley +1 more source
Beyond Batch Processing: Towards Real-Time and Streaming Big Data
Computers, 2014 Today, big data are generated from many sources, and there is a huge demand for storing, managing, processing, and querying on big data. The MapReduce model and its counterpart open source implementation Hadoop, has proven itself as the de facto solution
Saeed Shahrivari
doaj +1 more source
Reflections on the Future of Statistics Education in a Technological Era
Teaching Statistics, EarlyView.ABSTRACT Keeping pace with rapidly evolving technology is a key challenge in teaching statistics. To equip students with essential skills for the modern workplace, educators must integrate relevant technologies into the statistical curriculum where possible.
Craig Alexander +2 more
wiley +1 more source
Hadoop Cluster Deployment: A Methodological Approach
Information, 2018 For a long time, data has been treated as a general problem because it just represents fractions of an event without any relevant purpose. However, the last decade has been just about information and how to get it.
Ronaldo Celso Messias Correia +5 more
doaj +1 more source
Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology
Computational and Systems Oncology, Volume 6, Issue 1, December 2026.ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu +8 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 9, September 2026.This work investigates the influence of developer experience over software architecture degradation in four large open‐source projects from Apache Software Foundation, considering two research questions. Our results indicate no relation between general experience and architecture degradation in those projects.
Renata Brasil‐Silva +1 more
wiley +1 more source
cerndb/hadoop-xrootd: Release 0.2.0
, 2018 A library to connect an xrootd-based file system with the Hadoop ...
Piotr Mrówczyński, mevangem, byniek
core +1 more source
Hadoop Configuration Tuning With Ensemble Modeling and Metaheuristic Optimization
IEEE Access, 2018 MapReduce is a popular programming model for big data processing. Although the distributed processing framework Hadoop greatly reduced the development complexity of MapReduce applications, fine tuning of the Hadoop systems for optimal performance remains
Xingcheng Hua +2 more
doaj +1 more source
Research on Advanced Streaming Processing on Apache Spark [PDF]
International Journal of Industrial Engineering and Production Research, 2021 The Today’s digital world computations are tremendously difficult and always demands for essential requirements to significantly process and store enormous size of datasets for wide variety of applications.
A.K.V.K Sasikanthr +4 more
doaj
Market‐Driving Capability: An Empirical Study on Antecedents and Consequences
British Journal of Management, Volume 37, Issue 3, July 2026.Abstract What enables market‐driving behaviour, and is it a worthwhile business strategy? This fundamental question intrigues both managers in firms and researchers in marketing and strategic management, yet surprisingly, it remains underexplored. To this end, we assess the antecedents and consequences of market‐driving capability.
Owais Khan +2 more
wiley +1 more source