MongoDB: The Definitive Guide
By Kristina Chodorow, Michael Dirolf. 2010
530 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/16dff436f43bd1d103ee5a65647e79c14ff9c8a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Fred Morstatter
- Georgios Gousios
- Ibrar Yaqoob
- Ibrahim Abaker Targio Hashem
- Fariza Hanum Binti Md Nasaruddin
- Huan Liu
- Abdullah Bin Gani
- Gema Bello Orgaz
Citations in the corpus
- Finding useful data across multiple biomedical data repositories using DataMed (2017, methodology): “Metadata related to data sets are extracted and further enhanced by a document-processing pipeline using ApacheMQ (see URLs) and MongoDB 12 .”
- GHTorrent: Github's data from a firehose (2012, methodology): “The data is stored in a MongoDB database [5].”
- Big Data: A Survey (2014, background): “– MongoDB: MongoDB is open-source and document-oriented database [92].”
- Social big data: Recent achievements and new challenges (2015, methodology): “MongoDB is an open-source document-oriented database system and is part of the NoSQL family of database systems [38].”
- Twitter Data Analytics (2013, methodology): “[2] contains a list of HTTP error codes returned by the Twitter APIs.”
- Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges (2017, background): “MongoDB [42] is an example of this architecture.”
- The jsonlite Package: A Practical and Consistent Mapping Between JSON Data and R Objects (2014, background): “Several dialects of JSON exists such as BSON (Chodorow, 2013) or MSGPACK (Furuhashi, 2014), which extend the format with various binary types.”
- Big data related technologies, challenges and future prospects (2015, methodology): “In recent years, WSNs have received considerable interest and have been applied to many applications, such as environmental research [11, 12], water quality monitoring [13], civil engineering [14, 15], and wildlife habit monitoring [16].”
- Hadoop-HBase for large-scale data (2011, background): “…data in an acceptable timeframe • Business Analytics • Performance Modeling like concurrency, throughput and response time of new applications With the advent of web 2.0 (social web) and at the dawn of web 3.0 (semantic web), more and more Binary Large Objects (BLOBs) (images, audio, video…”