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Tag Archives: Google

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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A gravitational wave moment for graph. The Year of the Graph Newsletter: March 2019

A gravitational wave moment for the graph community in the W3C Workshop on Web Standardization for Graph Data. Gartner includes Graph as Trend #5 in its Top 10 Data and Analytics Technology Trend for 2019. And graphs continuing to make waves in the real world in every possible way. The graph community may have had […]

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The Year of the Graph Newsletter: November 2018

October 2018 was the busiest month in the busiest year in graph history, hence the longest Year of the Graph newsletter to date. Neo4j lands a massive funding round, Tinkerpop is moving forward, the most important knowledge graph research event with key industry presence, W3C organizing a Workshop on Web Standardization for Graph Data, and […]

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The Year of the Graph Newsletter: October 2018

Getting knowledge graph semantics and definitions right, semantic web standards used in the real world, by Google no less, and ArangoDB, Azure CosmosDB, Neo4j and TigerGraph announcing new versions. By now you probably know that knowledge graphs are in Gartner’s Hype Cycle. But how does one actually define a knowledge graph? My take on ZDNet. […]

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Personal Data from the Source: How and Why Consumers and Marketers Can Connect

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We saw in the previous posts a couple of examples of online marketing gone wrong. The common thread for these examples, and others like them, is the desire marketers have to reach out to new audiences – which is perfectly normal. But in many cases what they are doing is using a new medium – […]

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