Take Advantage of the Metadata Benefits of Graph Databases

It’s well known that graph databases represent new categories of analytics capability and potential for machine learning. If you want to create a knowledge graph, understand buyer intent, or create...

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The Year of the Graph in Review & the Emergence of Graph OLAP Databases

In 2018, industry analysts declared 2018 as the year of the graph. As we move into 2019, it is worth reflecting how the graph market has evolved.

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Understanding Graph Databases

What Enterprise Architects should know about Graph The description of graph databases that you get when you Google it are mostly academic. I see a lot of descriptions about graph databases that talk...

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The Power of GOLAP & Parallelism: Supercharge Your Database’s Analytics Capabilities

The explosion of data available to companies and corporations over the past 5 years has left data scientists with an excess of information at their disposal. While that may sound like a good problem...

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If You’re Not Using Graph OLAP, Here’s Why You Should

For decades, retailers, manufacturers, banks, government agencies, healthcare companies and many other businesses have used Online Transaction Processing (OLTP) databases for applications such as...

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What Is a Graph Database?

2018 has been touted as "The Year of the Graph", as more and more organizations both large and small have recently begun to invest in graph database technology as they look to draw insights and...

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The Internet of Things and the Future of Information

With summer comes road “blow-ups,” where the heat causes pavement to suddenly buckle. As with the potholes of winter, highway departments typically don’t know where blow-ups occur until motorists...

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Data Summit 2018 and the Rise of Graph Databases

Last month, we attended Data Summit 2018 here in Boston. There were a number of topics discussed at this 3-day conference surrounding big data technologies, including AI, ML, graph technology and...

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[Slideshare] Anzo Smart Data Lake 4.0 - a Data Lake Platform for the Enterprise Information Fabric

Only with a rich and interactive semantic layer can the data and analytics stack deliver true on-demand access to data, answers and insights - weaving data together from across the enterprise into...

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Taming the Big Data Beast of Retail Supply Chain Management

Data is increasing in supply chain management for retailers. Most of this data is unstructured and flowing all day and night into servers, and there’s much more to come.

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