Accelerating Insight with High-Octane Graph-Fueled Data [Slideshare]

At the Gartner Data & Analytics Summit 2017, Cambridge Semantics' very own Barry Zane, Vice President of Engineering, and Ben Szekely, Vice President of Solutions, discussed how the Anzo Smart Data...

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Accelerating Insight - Smart Data Lake Customer Success Stories [Slideshare]

At Gartner's Data & Analytics Summit 2017, Alok Prasad, President of Cambridge Semantics, was joined by Peter Horowitz of PricewaterhouseCoopers for their session entitled “Accelerating Insight:...

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Transforming Data Management and Time to Insight with Anzo Smart Data Lake® [Slideshare]

In this webinar Steve Hamby, Managing Director Government, discusses semantic graph technology to help Federal Government CIOs and their agency staff that are researching enterprise data management...

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Allow Us to Introduce Ourselves

In September 2016 Cambridge Semantics attended Strata+Hadoop World 2016 in New York, NY. While we were there, Marty Loughlin, our VP of Financial Services, spoke to a gathering of attendees about...

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5 Reasons Gartner BI & Analytics Summit Attendees Flooded the Cambridge Semantics Booth

On my flight back to Boston from Grapevine, TX, where we spent three exhausting and exhilarating days at Gartner BI & Analytics Summit, I am reflecting on the great interest shown in Cambridge...

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Winning the Wild Wild West of Data Lakes

With no inherent means of adhering to governance and security protocols, data lakes are akin to the Wild West in that they are devoid of order and consistency. Each user manipulates his or her own...

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The Three Pitfalls of Data Lakes

Data lakes are no longer anomalies. Consolidating all of an organization’s data—unstructured, semi-structured, and structured—into a single repository for integration, access, and analytics purposes...

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Revolutionizing Analytics with Semantic Data Lakes

Recent developments in big data technologies have significantly impacted the prowess of contemporary analytics; the most profound of these involves the deployment of semantically enhanced semantic...

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5 Data Lake Capabilites Essential to Business Success

Many data lake projects achieve their IT objective: cheap storage of all enterprise data in raw form, but fail in their business objective to deliver value from this data. Why? Because making the...

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Retiring (Your Applications) to the Lake

Legacy applications that have exceeded their useful life can be expensive to maintain. They often require specialized skills and old versions of software and hardware to support. But, they can also...

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