Data Wins: The WibiData Blog

WibiData Welcomes a New Data Scientist

28 February 2014 By Ed Fine Comments.

I have been at WibiData for a couple of months now, and what a ride it’s been.  In that time, I have not only massively expanded my knowledge base, but I am already building recommender systems that work on more data and deploy faster than I have ever seen before.  Not only do they accelerate the process, but our tools allow me to work far faster too.  What an awesome feeling for a data scientist. Prior to WibiData, I came from a rapidly growing online retailer. The data was extremely important, and the need

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2014 Innovation Days

18 February 2014 By WibiData Staff Comments.

Recently, WibiData held our second semi-annual Innovation Days! In the spirit of creative entrepreneurship, WibiData engineers took a break from their normal sprints to hack on Kiji, WibiData’s open-source framework for Big Data Application development. Innovation Days kicked off on Wednesday, January 22nd with pitch presentations. The following two days, Wibis split up into groups to hack on the projects of their choice. By Monday, the Wibis were ready to present their projects. Take a look at what engineers at WibiData hacked on: Kiji Roaring. Currently within Kiji, ScoreFunctions for applying a model to an entity must be

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Announcing a Partnership with Industry Leader, DataStax

11 February 2014 By Garrett Wu Comments.

We’re in an exciting stage of development in the Big Data ecosystem as many open-source technologies enter mainstream adoption. As an example of this maturing trend, WibiData is excited to announce a partnership with DataStax. The basis of this partnership announcement is the integration of Apache Cassandra, an open-source distributed datastore, with WibiData’s open source framework, the Kiji Project, a modular framework for storing and serving user data to enable real-time personalization across channels. This partnership will bring new benefits to both WibiData and DataStax customers and open-source communities. DataStax Enterprise, DataStax Community, and Cassandra users

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