The Data Fabric Universe

Companies today recognize that exploiting the full value of their enterprise data to enable expanded use of analytics is an essential competitive battleground of the future. Data assets from...

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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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EDM Council and Financial Services Uses Cases for Knowledge Graphs

Digital transformation and regulatory compliance are driving challenging new demands for access to enterprise data in large Financial organizations. Most organizations are struggling to meet these...

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Breaking Data Silos - Three Keys For Success

Three Keys For Successfully Breaking Data Silos to Unlock New Business Insights Data languishes in silos in every enterprise. Most enterprises also sponsor at least one initiative to free that data...

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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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Think Bigger with Graph - the Killer App Is Integration

2018 was the “Year of the Graph”, heralding advancements in graph products primarily addressing graph analytics use cases like fraud and community detection. This momentum continues in 2019, with...

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Why Knowledge Graph for Financial Services? Real World Use Cases

Most large financial organizations are wrestling with fundamental data management challenges. Traditional technologies are struggling to meet these challenges and they demand a new approach. Forward...

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Cambridge Semantics' Top 10 Blogposts of 2018

As we wind down 2018 (the Year of the Graph!), we thought we would take a look back on our most popular blogposts this year. So, without further ado, here are the top 10 most popular blogposts of...

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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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