Apache Flink - Distributed Stream and Batch Data Processing

Flink is an open source platform for distributed stream and batch data processing. Fast, general purpose distributed data processing system that combines batch and stream processing. Up to 100x faster than
Hadoop Mapreduce.

Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. Key features:

Hydrosphere Tears down the Wall between Data Science and Devops

Recognizing the difficulties inherent in managing big data projects, Hydrosphere is pleased to announce its flagship product. This opensource platform plugs data scientists and data engineers into the continuous release mindset and machinery of traditional development teams.  It takes the automated devops approach, which is already adopted by Java projects, and fits that onto data science.

The Goal of Ubiquitous Computing

Ubiquitous computing may be defined broadly as "machines that fit the human environment instead of forcing humans to enter theirs." Mark Weiser coined the phrase "ubiquitous computing" around 1988, during his tenure as Chief Technologist of the Xerox Palo Alto Research Center (PARC).