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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 […]

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Graph explosion and consolidation. The Year of the Graph Newsletter, June 2019

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With the knowledge graph space exploding on all accounts (interest, use cases, funding), centrifugal and centripetal forces are simultaneously at play. While the “wild, early days” of knowledge graph technology are gone, the 20 year anniversary of the Semantic Web is a good opportunity to reflect on what worked and what didn’t, and to move […]

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Graphs in the cloud. The Year of the Graph Newsletter: April 2019

The first sign of convergence in the graph space is here. Graph databases continue to grow, expand, and make their way to the cloud, a number of open source frameworks for working with graphs has been released, and a slew of new interesting use cases. One of the takeaways of the recent W3C Workshop on […]

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In Between Years. The Year of the Graph Newsletter: January 2019

In between years, or zwischen den Jahren, is a German expression for the period between Christmas and New Year. This is traditionally a time of year when not much happens, and this playful expression lingers itself in between the literal and the metaphoric. As the first edition of the Year of the Graph newsletter for […]

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The Year of the Graph Newsletter: 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 […]

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Open or closed? On graph database access, query languages, community building, and TigerGraph

Having an entry path, as well as a strong community, is important for any solution, and graph databases are no different. Following latest developments in graph query languages, TigerGraph is changing its strategy. How will this affect the domain? If you’ve been watching the graph database space, you probably know TigerGraph. It’s one of the […]

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DataStax Enterprise Graph 6.0: what’s new, and what’s coming?

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DataStax Enterprise just released version 6.0, a major upgrade. We take an insider tour with Jonathan Lacefield, Senior Director of Product Management with DataStax, focusing on DSE Graph. Even though news on the new DSE release have been out for a while, one of the principles to go by in the tech world is “never […]

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The Year of the Graph Newsletter: April 2018

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Graph databases are the hottest thing around right now. Whether you are just getting started, or you are in one of the 51% of organizations already using them, this is the place to get your news and analysis. The popularity of graph databases has gone through the roof almost overnight it seems. Everything points this way: […]

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Cloudera, Hortonworks, and how they are progressing in their Hadoop security agenda

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Back in July 2014, Gigaom published a research note on Hadoop security written by me. As there seems to be rapid progress in this domain, in the last few days there have been a couple of related developments that call for an update on the picture drawn in that report. As was noted in the […]

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The best approach to managing Hadoop

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This week Linked Data Orchestration published another report on Big Data. The report is titled “The best approach to managing Hadoop” and is brought to you in collaboration with Gigaom and Zettaset. The report examines the 3 choices available for managing Hadoop and discusses the pros and cons for each one. Organizations leveraging on-premises Hadoop […]

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