Sunday, August 03, 2014

data: Best Companies to Work For 2014 @ Fortune

Google - Best Companies to Work For 2014 - Fortune:

Lists like this are nice for human reading, but how about computer agents?

With "human" web browsers there is a way to insert advertising, and monetize data.

How about "computer" agent / assistant, that could help humans find relevant info?

For IoT and "Data Smart Web" there should be an inherent way to get value back for data.

Obviously, one way is to sell data (by API), and micro-payments, but this is not what most people expect...

If anybody, Google may be able to figure it out (or Microsoft, or Apple, or Amazon...)

Oracle RDF Graph for NoSQL Database

Oracle RDF Graph for NoSQL Database:
"support in Oracle NoSQL Database for semantic technologies, specifically the Worldwide Web Consortium (W3C) Resource Description Framework (RDF), SPARQL query language, and a subset of the Web Ontology Language (OWL). These capabilities are a feature referred to as the RDF Graph feature for Oracle NoSQL Database Enterprise Edition."
Relationship between NoSQL DB and RDF Graph

Oracle has managed to "bundle" Semantic Web, NoSQL and Graph database, as well as legal agreement,
all in one sentence... Anything data related nicely packaged.

In fact this is may be a clever leveraging of original Berkeley DB (SleepyCat) key-value store
in combination with Apache Jena open source toolkit. Graph can be implemented with RDF tripples,
and that is it. Nice. Question is how performance of such solution compares with "native" graph database
like Neo4j, and how SPARQL query language compares with Neo4j Cyper...
For most people in-memory SQL may still be enough, but for IoT BigData something more optimized may be needed...

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