AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Data Visualization is a widely used technique for visualizing, analyzing, and presenting datasets using different types of graphs. It is an effective way to evaluate a large data set using pictorial ...

Data visualization is one of the most important tools we have to analyze data. But it’s just as easy to mislead as it is to educate using charts and graphs. In this article we’ll take a look at 3 of ...

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Graph databases capture richly linked domain knowledge by integrating heterogeneous data and metadata into a unified representation. Here, we present the use of bespoke, interactive data graphics (bar ...

Part of the problem with any powerful technology is how it is perceived. It might be something that is too early for its time or it may just need those years of development and use for the market to ...

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into information, ...

When DataStax acquired Aurelius, a graph database startup last year, it was clear it wanted to add graph database functionality to its DataStax Enterprise product, and today it achieved that goal when ...

The management of healthcare data is constantly transforming to assist the healthcare industry in increasingly productive ways 1,2,3. In traditional electronic medical record (EMR) systems, data are ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...