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

January 7, 2019
Drug manufacturers can achieve end-to-end visibility into fragmented supply chains, maintaining efficient control over products—at less time and cost.
January 2, 2019
In this post, we dive into building a full five-card draw poker game with a configurable number of players. Written in XQuery 1.0, along with MarkLogic extensions to the language, this game provides examples of some great programming capabilities, including usage of maps, recursions, random numbers, and side effects. Hopefully, we will show those new to XQuery a look at the language that they may not get to see in other tutorials or examples.
MarkLogic met with Oxbow Partners and insurance industry leaders to discuss how data management can play a key role in enabling cultural transformation.
December 20, 2018
Watch Matthew Jacobsen from the U.S. Air Force Research Lab chat about how MarkLogic is helping the lab achieve agility and adaptability to more efficiently develop new products for the military.
December 19, 2018
The data pioneers at the North Pole have extended their use of NoSQL to help improve crowdsourcing projects!
December 18, 2018
New ways of managing data require new ways of training and developing technologists. Read about the tools and real-world experience a developer needs to build a successful data hub in the enterprise.
December 18, 2018
Team JavaScript helps Santa modernize by building out a Secret Santa MVP in MarkLogic. Gone are the days of pulling names out of a hat!
December 18, 2018
Learn how French startup, Earthcube, is combining MarkLogic and AI to enable a new generation of warfighters and intelligence analysts.
December 17, 2018
State agencies running multi-million dollar programs for vulnerable populations who rely on them are at risk for failing people due to flawed data stuck in silos. Let’s explore the impact of data silos on departments and why they’re a problem.
December 11, 2018
Two emerging technology patterns help make combined, enterprise-wide data useful and secure: data fabrics and Operational Data Hubs (ODHs). This blog outlines the differences between data fabrics and data hubs, and outlines how they best work together.
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