Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

January 25, 2018
Viele Versicherungen haben mit Workflow-Prozessen und der IT-Infrastruktur zu kämpfen, wenn sie ihr wichtigstes Kapital nutzen wollen: Daten und Dokumente. Neue Ansätze sind hier gefragt.
December 20, 2017
Archives are a fact of life for banks. But they don't have to be a costly graveyard for data. Put them to work and achieve operational efficiency!
December 12, 2017
MarkLogic addresses machine learning and artificial intelligence as an enabler to feed machine learning and AI systems to make them more effective.
December 5, 2017
MarkLogic was proud to be a part of SEMANTiCS, a fascinating conference that bridges the worlds of research and industry by offering unique mix of cutting-edge academic papers and the best examples of semantic technology in use in the industry.
November 30, 2017
The reason why MarkLogic is winning against the giants of the database industry – we listen to our customers. Faster time to value, lower costs, more agility, more sharing & the ability to run anywhere.
November 27, 2017
You need a better way to manage entities and the messy, changing data from which they are derived. Here's how UML -- Unified Modeling Language can help you visualize your conceptual model.
November 3, 2017
In the new Gartner 2017 Magic Quadrant for Operational Database Management Systems (ODMS), MarkLogic is recognized as a Challenger, achieving the highest placement in the Challenger quadrant for ability to execute and furthest for completeness of vision.
November 2, 2017
The Department of Defense is fielding two new Artificial Intelligence projects and will look for industry to solve data pre-processing and automation tasks. Despite challenges, it is possible for organizations to achieve their automation goals without creating more pain in the process.
November 2, 2017
The common approach to mitigate linkage attacks is to anonymize data before exporting by removing PII-personally identifiable information such as ID, phones, etc. Unfortunately, this is not enough.
October 31, 2017
Data needs to serve Business Requirements not the other way around. When dealing with disparate data from a multitude of sources, Agile Modeling is a new approach that works better than relational modeling. Technologists need to learn it -- even if it's outside their comfort zones.
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