Storing twitter data

Shamanth Kumar; Fred Morstatter; Huan Liu

doi:10.1007/978-1-4614-9372-3_3

Storing twitter data

Shamanth Kumar, Fred Morstatter, Huan Liu

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Scopus citations

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 language	English (US)
Title of host publication	SpringerBriefs in Computer Science
Publisher	Springer
Pages	23-33
Number of pages	11
Edition	9781461493716
DOIs	https://doi.org/10.1007/978-1-4614-9372-3_3
State	Published - 2014

Publication series

Name	SpringerBriefs in Computer Science
Number	9781461493716
Volume	0
ISSN (Print)	2191-5768
ISSN (Electronic)	2191-5776

ASJC Scopus subject areas

General Computer Science

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10.1007/978-1-4614-9372-3_3

Cite this

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Storing twitter data

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