A Huntsville, Ala., company is moving from the machine-to-machine world into cloud platforms and big data. Here’s how it did it and how it thinks its work could actually end up… Read more »
Twitter is fast becoming a platform that’s far more valuable for marketers, politicians, traders and journalists than for any given individual user. That’s because if you know how to use it,… Read more »
The service, announced in November as a tool for customers who want to process data in a timely fashion, gives Amazon a rival to Apache Storm. Read more »
Netflix has open sourced a tool called Suro that collects event data from disparate application servers before sending them to other data platforms such as Hadoop and Elasticsearch. It’s more big… Read more »
Following on the heels of Apple buying Topsy, fellow Twitter-specialist DataSift has announced a $42 million round of venture capital financing. Read more »
This post from the New York Times’ Open blog talks about the architecture and algorithms underpinning its content-personalization engine. Its experience speaks to some larger trends around companies moving from batch… Read more »
Dataminr, a startup dedicated to analyzing the Twitter firehose of real-time tweets, is using today’s BlackBerry news as proof of its value. The company claims it gave users a 3-minute advantage… Read more »
Cloudera has partnered with a startup called Databricks to integrate and support the Apache Spark data-processing platform within Cloudera’s Hadoop software. Spark, which is designed for speed and usability, is one… Read more »
Hortonworks is working to integrate the Storm stream-processing engine with its Hadoop distro, and hopes to have it ready for enterprise apps within a year’s time. It’s the latest non-batch functionality… Read more »