DataStax Enterprise Graph 6.0: what’s new, and what’s coming?
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 […]
Read More →Here we go: The Year of the Graph Newsletter Vol. 1, April 2018
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: […]
Read More →Data.world: The importance of linking data and people
Notepads, graphs, data lakes, collaboration, and data manifestos. Data.world has an interesting blend of philosophy and technology going on — and it all converges around one thing: Facilitating data-driven analysis by making it a team sport.
Read More →Back to the future: Does graph database success hang on query language?
If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.
Read More →The Reskilling Revolution: Taking control of skills with Open Badges
In a rapidly shifting job market, being able to formalize skills is a requirement for job seekers and employers going forward. Open Badges is a data specification that may be able to help do that.
Read More →From graph to the world: pioneering a database virtual machine
What are the options for querying graphs, and how do we go from that to the equivalent of a virtual machine for databases?
Read More →The year of the graph: Getting graphic, going native, reshaping the landscape
The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?
Read More →Sparkier, faster, more: Graph databases, and Neo4j, are moving on
New players, new features, platforms, and ticking boxes. Let's talk graph with Neo4j.
Read More →TigerGraph, a graph database born to roar
Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.
Read More →Semantic data lake architecture in healthcare and beyond
Data lakes can be a great asset, but they need an array of elements to work properly. We take a look at how it works for Montefiore Health System and discuss the role of semantics and graph databases in the data lake architecture.
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