in-memory data grids, graph databases, scale-out NewSQL systems, and Hadoop will all get time in the sun. But according to database pioneer Mike Stonebraker, none of these hold a candle to array ...

Learn More In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial ...

Learn More This post is by Dr. Mukta Paliwal, senior data scientist ... use of graph technology, the market research firm said in its Top 10 Data and Analytics Trends for 2021. Every large ...

Setting Your Objectives Knowledge graphs are well-suited to organizations with large data sets and where extracting knowledge often proves burdensome. For example, an organization might use a ...

Graph neural networks (GNNs), which model connections between things as pairwise connections, excel at inferring data that’s missing from large data ... data into an array of rows and columns.

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Data protection and storage specialist Data Domain Oct ...

With an array of systems ... the name of property graphs. These are related, and they do have benefits. Their benefits, however, are somewhat different at this point. Data integration and ...

Now try adding to the mix a fragmented community and long-standing unresolved issues, and you get the picture of why graph data standardization ... it has lead to an array of use cases.

Graph neural networks (GNNs), which model connections between things as pairwise connections, excel at inferring data that’s missing from large data sets ... which organize data into an array of rows ...