This page ranks trending Kenyan hashtags. The first table lists trending hashtags captured in the last 10 minutes; the table refreshes every 30 minutes. The second table lists trending hashtags captured in the past 6 hours; the table refreshes every 3 hours. Contact us if you are interested in more frequent data, or with questions about [...]
Category: Big data
Twitter analytics: 1.2 million Kenyan tweets
Twitter analytics is an integral part of leveraging social media today. Among certain demographics in Kenya, Twitter is by far the social media platform with the most interactions. Therefore, any company engaged in selling must realize that social media is an additional sales channel. Consequently, a well-devised marketing strategy will lead to a larger market footprint, higher [...]
Scaling Apache Spark: 1.2 billion data points in 18 minutes
Scaling Apache Spark is typically the last step before executing a Spark-dependent workflow. In previous articles, we introduced Spark, and showed how to optimize it. Once correctly optimized, scaling Apache Spark becomes trivial. To demonstrate, we return to the NYC taxi dataset originally described here. As of 2019, this dataset contains about 1.5 billion anonymized [...]
Optimize Apache Spark and Hadoop in big data analytics [Part 2] [Advanced]
One often sees questions in forums asking why, for a particular Spark job, certain configurations outperform others. A naive understanding of Spark might imply that increasing the number of executors or increasing the cores per executor will lead to faster job completions. This is wrong. In this post, we show how to optimize Apache Spark. Faster execution [...]
Apache Spark and Hadoop in big data analytics
Increasingly, data analysts turn to Apache Spark and Hadoop to take the "big" out of "big data." Typically, this entails partitioning a large dataset into multiple smaller datasets to allow parallel processing. In this previous post, we explained how distribution enables analysis of datasets that are too large to fit in memory on a single [...]