MongoDB - The Definitive Guide: Powerful and Scalable Data Storage

By Kristina Chodorow, Michael Dirolf. 2019

302 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/156d8e2aa90b5ccc9be10477ca70deaad0151387

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Omer Berat Sezer
2. A. Ozbayoglu
3. O. Cremonesi
4. M. Pavan
5. Erdogan Dogdu
6. Lian Duan
7. C. Collaboration
8. F. Avignone

Citations in the corpus

• Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “(open-source data-store in binary JSON format) [198], SimpleDB (Web services of Amazon) [199], and CouchDB (Apache, datastore in JSON format) [200].”
• Big data for cyber physical systems in industry 4.0: a survey (2019, methodology): “MongoDB is designed to avoid the high cost of joint operation in traditional relational database systems (Chodorow 2013).”
• Searching for Neutrinoless Double-Beta Decay of130Te with CUORE (2014, methodology): “The CUORE slow control system will use LabVIEW for the instrumentation drivers, while the network layer will use one of the standard protocols available within LabVIEW and will store data in a schema-less database [40] as well as in the CUORE SQL analysis database.”