Amazon Recommends @Fluentd as "Best Practice for Data Collection" over Flume and Scribe | Treasure Data Blog
Amazon Recommends Fluentd as “Best Practice for Data Collection” over Flume and Scribe Tweet This month, Parviz Deyham from Amazon Web Service promoted Fluentd as the best data collection tool for Amazon Elastic MapReduce (EMR), a hosted Hadoop framework running on Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3). In the best practices whitepaper, Parviz, an Enterpise Solu
How To Analyze Twitter Data From Node.js Applications in 15 Minutes | Treasure Data Blog
How To Analyze Twitter Data From Node.js Applications in 15 Minutes Tweet Node.js is a popular server-side implementation of JavaScript. Its lightweight, event-based concurrency model lends itself naturally to building a real-time service with a large number of concurrent connections (Etsy’s monitoring library statsd and Uber’s on-demand driver dispatch service immediate come to my mind). Like all
Fluentd + Hadoop: Instant Big Data Collection | Treasure Data Blog
Fluentd + Hadoop: Instant Big Data Collection Tweet About This post describes how to use Fluentd’s newly released WebHDFS plugin to aggregate semi-structured logs into Hadoop HDFS. Background Fluentd is a JSON-based, open-source log collector originally written at Treasure Data. Fluentd is specifically designed for solving big data collection problem. Many companies choose Hadoop Distributed Files
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