A Comprehensive Spark-Based Layer for Converting Relational Databases to NoSQL
Big Data and Cognitive Computing, 2022 Currently, the continuous massive growth in the size, variety, and velocity of data is defined as big data. Relational databases have a limited ability to work with big data.
Manal A. Abdel-Fattah +2 more
doaj +1 more source
Performance Benchmarking for NoSQL Database Management Systems
Studia Universitatis Babes-Bolyai: Series Informatica, 2021 NoSQL database management systems are very diverse and are known to evolve very fast. With so many NoSQL database options available nowadays, it is getting harder to make the right choice for certain use cases.
Camelia-Florina ANDOR
doaj +1 more source
Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption [PDF]
E3S Web of Conferences, 2023 This study investigates the automatic creation of column-oriented NoSQL databases in Big Data environments and their impact on energy consumption. Traditional row-oriented databases face limitations in handling large volumes of data, resulting in slower ...
Elotmani Fouad +2 more
doaj +1 more source
Privacy-Breaching Patterns in NoSQL Databases
IEEE Access, 2021 NoSQL databases disrupted the database market when first introduced. Their contemporary relevance has increased further in the era of big data due to the demands placed on (real-time) analytics.
Kanika Goel, Arthur H. M. Ter Hofstede
doaj +1 more source
Data in the time of COVID-19: a general methodology to select and secure a NoSQL DBMS for medical data [PDF]
PeerJ Computer Science, 2020 Background As the COVID-19 crisis endures and the virus continues to spread globally, the need for collecting epidemiological data and patient information also grows exponentially.
Kamal A. ElDahshan +2 more
doaj +2 more sources
NOSQL design for analytical workloads: Variability matters [PDF]
, 2016 Big Data has recently gained popularity and has strongly questioned relational databases as universal storage systems, especially in the presence of analytical workloads.
Abelló Gamazo, Alberto +2 more
core +1 more source
Managing polyglot systems metadata with hypergraphs [PDF]
, 2018 A single type of data store can hardly fulfill every end-user requirements in the NoSQL world. Therefore, polyglot systems use different types of NoSQL datastores in combination.
F. Saltor +8 more
core +1 more source
Highly Scalable Distributed Architecture for NoSQL Datastore Supporting Strong Consistency
IEEE Access, 2021 Introducing a strong consistency model into NoSQL data storages is one of the most interesting issues nowadays. In spite of the CAP theorem, many NoSQL systems try to strengthen the consistency to their limits to better serve the business needs. However,
Adam Krechowicz +2 more
doaj +1 more source
Scalable Persistent Storage for Erlang [PDF]
, 2013 The many core revolution makes scalability a key property. The RELEASE project aims to improve the scalability of Erlang on emergent commodity architectures with 100,000 cores. Such architectures require scalable and available persistent storage on up to
Chechina, Natalia +3 more
core +1 more source
Benchmarking database systems for Genomic Selection implementation [PDF]
, 2019 Motivation: With high-throughput genotyping systems now available, it has become feasible to fully integrate genotyping information into breeding programs.
Guignon, Valentin +10 more
core +2 more sources