Oracle Data Integrator Extension
June 29, 2015
The article titled Oracle Launches ODI in April with the Aim to Revolutionize Big Data on Market Realist makes it clear that Oracle sees big money in NoSQL. Oracle Data Integrator, or ODI, enables developers and analysts to simplify their lives and training. It cancels the requirement for their learning multiple programming languages and allows them to use Hadoop and the like without much coding expertise. The article states,
“According to a report from PCWorld, Jeff Pollock, Oracle vice president of product management, said, “The Oracle Data Integrator for Big Data makes a non-Hadoop developer instantly productive on Hadoop…” Databases like Hadoop and Spark are targeted towards programmers who have the coding knowledge expertise required to manipulate these databases with knowledge of the coding needed to manage them. On the other hand, analysts usually use software for data analytics.”
The article also relates some of Oracle’s claims about itself, including that it holds a larger revenue than IBM, Microsoft, SAP AG, and Teradata combined. Those are also Oracle’s four major competitors. With the release of ODI, Oracle intends to filter data arriving from a myriad of different places. Clustering data into groups related by their format or framework is part of this process. The end result is a more streamlined version without assumptions about the level of coding knowledge held by an analyst.
Chelsea Kerwin, June 29, 2014
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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Attensity’s Semantic Annotation Tool “Understands” Emoticons
April 27, 2015
The article on PCWorld titled For Attensity’s BI Parsing Tool, Emoticons Are No Problem explains the recent attempts at fine-tuning the monitoring and relaying the conversations about a particular organization or enterprise. The amount of data that must be waded through is massive, and littered with non-traditional grammar, language and symbols. Luminoso is one company interested in aiding companies with their Compass tool, in addition to Attensity. The article says,
“Attensity’s Semantic Annotation natural-language processing tool… Rather than relying on traditional keyword-based approaches to assessing sentiment and deriving meaning… takes a more flexible natural-language approach. By combining and analyzing the linguistic structure of words and the relationship between a sentence’s subject, action and object, it’s designed to decipher and surface the sentiment and themes underlying many kinds of common language—even when there are variations in grammatical or linguistic expression, emoticons, synonyms and polysemies.”
The article does not explain how exactly Attensity’s product works, only that it can somehow “understand” emoticons. This seems like an odd term though, and most likely actually refers to a process of looking it up from a list rather than actually being able to “read” it. At any rate, Attensity promises that their tool will save in hundreds of human work hours.
Chelsea Kerwin, April 27, 2014
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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