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The Toptal Engineering Blog is a hub for in-depth development tutorials and new technology announcements created by professional software engineers in the Toptal network.
Hanee' Medhat
Apache Spark Streaming Tutorial: Identifying Trending Twitter Hashtags

Social networks are among the biggest sources of data today, and this means they are an extremely valuable asset for marketers, big data specialists, and even individual users like journalists and other professionals. Harnessing the potential of real-time Twitter data is also useful in many time-sensitive business processes.

In this article, Toptal Freelance Software Engineer Hanee’ Medhat explains how you can build a simple Python application to leverage the power of Apache Spark, and then use it to read and process tweets to identify trending hashtags.

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Behsaad Ramez
Social Network APIs: The Internet’s Portal to the Real World

Social networks are a rich source of user information. From a person’s current mood to endless streams of photos, there is by now probably a social network for each aspect of human life. From the development side, access to users’ information can be an essential element in providing a truly personalized experience in any application.

In this article, Toptal Freelance Software Engineer Behsaad Ramez shows us how the APIs of some of these social networks stack against each other and how they may be leveraged to accumulate precious information about users.

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Elder Santos
Data Mining for Predictive Social Network Analysis

Analysts have come to recognize social network data as a virtual treasure trove of information for sensing public opinion trends and groundswells of support. In this article, Toptal Engineer Elder Santos describes the techniques he employed for a proof-of-concept that effectively analyzed Twitter Trend Topics to predict, as a sample test case, regional voting patterns in the 2014 Brazilian presidential election.

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