Apache Pig 0.14.0
Evaluate the development stages of your applications with the help of this open source platform that enables you to analyze large data sets
The salient property of Apache Pig programs is that their structure is amenable to substantial parallelization, which in turns enables them to handle very large data sets.
At the present time, Apache Pig's infrastructure layer consists of a compiler that produces sequences of Map-Reduce programs, for which large-scale parallel implementations already exist (e.g., the Hadoop subproject).
Apache Pig's language layer currently consists of a textual language called Pig Latin, which has the following key properties:
· Ease of programming. It is trivial to achieve parallel execution of simple, "embarrassingly parallel" data analysis tasks. Complex tasks comprised of multiple interrelated data transformations are explicitly encoded as data flow sequences, making them easy to write, understand, and maintain.
· Optimization opportunities. The way in which tasks are encoded permits the system to optimize their execution automatically, allowing the user to focus on semantics rather than efficiency.
· Extensibility. Users can create their own functions to do special-purpose processing.
Apache Pig is cross-platform and it works on Mac OS X, Windows and Linux.
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What's New in This Release:
- The highlight of this release includes Pig on Tez, OrcStorage, loader predicate push down, constant calculation optimization and interface to ship jar