New Analysis Tool for Hadoop Data from Oracle
June 23, 2015
Oracle offers new ways to analyze Hadoop data, we learn from the brief write-up, “Oracle Zeroes in on Hadoop Data with New Analytics Tool” at PCWorld. Use of the Hadoop open-source distributed file system continues to grow among businesses and other organizations, so it is no surprise to see enterprise software giant Oracle developing such tools. This new software is dubbed Oracle Big Data Spatial and Graph. Writer Katherine Noyes reports:
“Users of Oracle’s database have long had access to spatial and graph analytics tools, which are used to uncover relationships and analyze data sets involving location. Aiming to tackle more diverse data sets and minimize the need for data movement, Oracle created the product to be able to process data natively on Hadoop and in parallel using MapReduce or in-memory structures.
“There are two main components. One is a distributed property graph with more than 35 high-performance, parallel, in-memory analytic functions. The other is a collection of spatial-analysis functions and services to evaluate data based on how near or far something is, whether it falls within a boundary or region, or to process and visualize geospatial data and imagery.”
The write-up notes that such analysis can reveal connections for organizations to capitalize upon, like relationships between customers or assets. The software is, of course, compatible with Oracle’s own Big Data Appliance platform, but can be deployed on other Hadoop and NoSQL systems, as well.
Cynthia Murrell, June 23, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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New Analysis Tool for Hadoop Data from Oracle : Stephen E. Arnold @ Beyond Search