The two topics Predictive Analytics and Big Data often appear together in discussions and blogs. This is not surprising when one considers that one of the great differences between traditional data warehousing and the new big data era is the outcome that each one has been tasked to produce. Databases and data warehousing have traditionally been used to provide a report (basically, descriptive analytics) about what has happened or what is happening.
The sign of maturity of most technologies is the appearance of standards. Standards are used to enable, to promote, to measure, and perhaps to govern the use of that technology across a wide spectrum of communities. Standardization increases independent use and comparative evaluations of the technology.
The latest updates for the Apache open source projects in the MapR Distribution for Hadoop are now out. This release includes patches for Hive version 0.11 and 0.13, Httpfs, Pig, along with the 0.9 (pre 1.0) release of Mahout.
The advancement of analytics has paralleled the advancement of big data in many BIG (Business, Industry, Government) sectors! Both analytics and big data are on unstoppable trajectories right now – moving toward destinations that are beyond the greatest dreams of the first database builders of t