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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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Hadoop World vendor announcements and impact on Accessibility, Scalability and Security

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This week the world’s biggest event for all things Hadoop takes place, the Strata and Hadoop World conference. Vendors announce and showcase new releases and features in their offerings, and Gigaom covered the extensive array of news. Let’s try to decipher them and see their impact in terms of Hadoop distributions Accessibility, Scalability and Security. […]

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Data Modeling for APIs. Part 5: Modeling vs. Meta-Modeling

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Part 1: Seting the stage | Part 2: REST and JSON | Part 3: SOAP and XML | Part 4: Linked Data and SPARQL | Part 5: Modeling vs. Meta-Modeling Recently i was involved the creation of a data model for a project in the Energy domain. As this was an international, multi-partner project with […]

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RDF on Hadoop and Schema on Read vs. Schema on Write

One of the challenges for any Big Data solution is dealing with scale, and RDF stores are no exception: going for billions of RDF triples (the equivalent of rows in the SQL world) is not trivial. Hadoop on the other hand is great at scaling out on commodity hardware, which is a feature every MPP […]

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SPARQL City and Benchmarks

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We have written in the past about SPARQL, Hadoop and benchmarks. In this post, we take a look at a company that combines all of these subjects, SPARQL City, on the occasion of the results they released after subjecting their product, SPARQLVerse, to the SP2 benchmark. This year’s NoSQLNow conference was colocated with SemTechBiz, providing […]

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