The O word: do you really need an ontology? The Year of the Graph Newsletter: November / October 2019
How do you manage your enterprise data in order to keep track of it and be able to build and operate useful applications? This is key question all data managements systems are trying to address, and knowledge graphs, graph databases and graph analytics are no different. What is different about knowledge graphs is that they […]
Read More →Knowledge Graphs are the new Black. The Year of the Graph Newsletter, May 2019
Knowledge graphs become a centerpiece of Accenture and Microsoft’s toolkits. Knowledge graph lessons from Google, Facebook, eBay, IBM. Graph algorithms and analytics by Neo4j and Nvidia. Connected Data London and JSON-LD goodness, tips and tools for building and visualizing knowledge graphs, using graphs with Elixir and Typescript, and Geometric Deep Learning for a 3D world, […]
Read More →Knowledge graphs in Gartner’s hype cycle. The Year of the Graph Newsletter Vol. 5, September 2018
Knowledge graphs in Gartner’s hype cycle, machine learning extensions and visual tools for graph databases, Ethereum analytics with RDF, Using Gremlin with R, SPARQL, and Spring, graph database research wins best paper award in VLDB, and benchmarking AWS Neptune. Not bad for a typical summer vacation month such as August. This edition of the Year […]
Read More →Global and Mobile App Delivery in the Age of IT Consumerization. Part 3: Changes Going Forward and Analytics
In the 3rd and concluding part of this series of posts on Gigaom’s webinar on Global and Mobile App Delivery in the Age of IT Consumerization, sponsored by Akamai, the last items in the webinar agenda are covered: changes going forward and the impact on analytics and BI. The webinar (now available on Vimeo and […]
Read More →Structure Data and the Competitive Landscape
Structure Data 2014 was another excellent Gigaom event. To anyone who has ever been to one, this is no surprise. Here’s my pick of the most interesting sessions and related news. Intel and its Hadoop distribution strategy Strange as it may sound, Intel has its own Hadoop distribution. Or at least it did up to […]
Read More →