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This article is part of the [[Advanced User's Guide]]. It is about the use of BaseX for processing and storing the live data stream of Twitter. We illustrate some statistics about the Twitter data and the performance of BaseX.As [http://twitter.com Twitter] attracts more and more users (over 140 million active users in 2012) and is generating large amounts of data (over 340 millions of short messages ('tweets') daily), it became a really exciting data source for
all kind of analytics. Twitter provides the developer community with a set of [https://dev.twitter.com/start APIs] for retrieving the data about its users and their communication, including the [https://dev.twitter.com/docs/streaming-apis Streaming API] for data-intensive applications, the [https://dev.twitter.com/docs/using-search Search API] for querying and filtering the messaging content, and the [https://dev.twitter.com/docs/api REST API] for accessing the core primitives of the Twitter platform.
 
This article is about the use of BaseX for processing and storing the live data stream of Twitter. We illustrate some statistics about the Twitter data and the performance of BaseX.
= BaseX as Twitter Storage=
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