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

January 27, 2020
Learn why a multi-model platform is a better solution than a graph database for ensuring you can comply with data privacy regulations like GDPR and CCPA.
January 20, 2020
Building the best solutions requires both the right technology and the right support. Learn how MarkLogic can help you succeed with complex data integration projects.
November 4, 2019
Do you really need a database if you’re already streaming data into Kafka? Learn why the answer is likely "yes."
The Operational Data Hub (ODH) is a newer architecture pattern, so enterprise architects may wonder how it fits in with other technologies and architectural models that they’re already using and/or are familiar with. Let's explore how an ODH fits in with a service-oriented architecture model.
Efficient data can lead to more effective service delivery in the public sector. But, much of the data is stored in silos in outdated infrastructure. Integrating data to merge these silos is notoriously difficult. Fortunately, there are solutions that can ease the pain, including the Operational Data Hub.
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.
Considering all data integration mistakes of the past, and knowing that innovation is always right around the corner, are you ready for the "next big thing"?
MarkLogic design patterns are reusable solutions for many of the commonly occurring problems encountered when designing MarkLogic applications.
Learn how you can anticipate and optimize your data access needs to more effectively determine AI project outcomes while avoiding potential technology and career pitfalls.
Dirty data results in lost productivity and revenue, and increases operating and reputation risks. Learn best practices for cleaning your dirty data.
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