We are witnessing the evaluation of web from web 2. 0 with social engagement to self intelligent data driven applications. whether it is a retail app or CRM or healthcare, all the applications will be driven by data. The quest to provide personalized experience increases the adoption of big data.

Databases, Clouds and More. Building an ACI Directly From Maven. I posted about building an ACI. The reason for wanting a Java base image was - of course - to run Java applications. In particular, I wanted to be able to do this direct from Maven. Spotify has a pretty good maven plugin for Docker.

Resource Requirements of Impala can be frustrating. Although I said in an earlier post that Impala is an exciting technology,. I was at a couple of meetups which were presented by Cloudera. People, as well as listening to talks at Strata Hadoop New York, 2014. Implementation, hopefully Hive on Tez. Cloudera Impala an Exciting Technology. Is an exciting Apache Hadoop.

Bay Area bike share analysis. Hue is an open source Analytics Workbench for self service BI. It focuses on SQL but also supports job submissions. It comes with an intelligent autocomplete, search and tagging of data and query assistance.

That puts the burden of research and decision-making in your hands, starting with whose distribution to use. The leading vendors are Cloudera, Hortonworks, IBM, and MapR Technologies.

Googles TensorFlow and Microsofts DMTK goes open source. This week felt like having Christmas and Birthday! On Monday Google open sourced their deep learning framework and on Friday Microsoft open sourced their distributed machine learning framework. First I thought they are competing projects! After I skimmed through both projects I can say, they follow different approaches to tackle the problem of distributed machine learning. The tutorials and examples on tensorflow.