Tag: RDF
Nov 29, 2017 |
Amazon Web Services today unveiled Neptune, a fully managed graph database service that will allow organizations to quickly identify connections hidden among billions of items.
AWS offers an array of databases, including relational databases, NoSQL databases, MPP databases, in-memory databases, key-value stores, search indices, and object stores. Read more…
Oct 2, 2017 |
The Enterprise Knowledge Graph concept strikes at the core of what every data-driven organization is trying to do: translate data assets into a competitive advantage unique to those assets and the company itself. Read more…
Aug 19, 2016 |
There’s no denying it: Graph databases are hot. According to DB-Engines.com, graph databases have outgrown every other type of database in popularity since 2013, and not by a small margin either. Read more…
Feb 8, 2016 |
The big data revolution is generating a mess of unruly data that’s difficult to parse and understand. This is to be expected–explosions don’t generally occur in a nice, orderly fashion, after all. Read more…
Aug 18, 2015 |
There’s a lot of ways companies are trying to store and analyze data today, but one of the most compelling involves graph analytics. MarkLogic, which supports a variant of the graph database known as a semantic triple store, hopes that a recent update puts this type of big data analysis on the map for more customers. Read more…
May 26, 2015 |
Hadoop-based data lakes are springing up all over the place as organizations seek low-cost repositories for storing huge mounds of semi-structured data. But when it comes to analyzing that data, some organizations are finding the going tougher than expected. Read more…
Oct 10, 2013 |You write a query with great care, and excitedly hit the "enter" button, only to see a bunch of gobbledygook spit out on the screen. MarkLogic says the chances of this happening will decrease thanks to the new RDF Triple Store feature that it formally introduced today with the launch of version 7 of its eponymous NoSQL database. Read more…
Feb 23, 2013 |This week’s selection of research items of interest in the data-intensive computing ecosystem includes new ways of visualizing textual data, lifelong machine learning, an interesting approach to the creation of social graphs and a look at the future for RDF and SPARQL in big data environments. Read more…
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