Abstract

In the previous chapter, we covered data collection methodologies. Using these methods, one can quickly amass a large volume of Tweets, Tweeters, and network information. Managing even a moderately-sized dataset is cumbersome when storing data in a text-based archive, and this solution will not give the performance needed for a real-time application. In this chapter we present some common storage methodologies for Twitter data using NoSQL.

Original languageEnglish (US)
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages23-33
Number of pages11
Edition9781461493716
DOIs
StatePublished - Jan 1 2014

Publication series

NameSpringerBriefs in Computer Science
Number9781461493716
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Kumar, S., Morstatter, F., & Liu, H. (2014). Storing twitter data. In SpringerBriefs in Computer Science (9781461493716 ed., pp. 23-33). (SpringerBriefs in Computer Science; No. 9781461493716). Springer. https://doi.org/10.1007/978-1-4614-9372-3_3