Conventional Data Integration is No Longer Sufficient
Chris Hall
Mar 11, 2021, 6 minute read

The original premise of data integration was focused on the correct goal of unifying data, but its execution was fundamentally flawed in that it sought to consolidate all enterprise data into one physical place. After fifty years of data warehouses and other ETL-based solutions, it’s clear that their promise for fast, complete analysis has fallen short.

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Upgrade your Analytics with a Knowledge Graph
Natalie Clark
Mar 5, 2021, 3 minute read

Are you currently managing a digital product or product line? If so, you may need a knowledge graph to improve your customer experience and retention.

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How Data Fabrics Modernize Existing Data Management Investments
Natalie ClarkColleen Luther
Mar 5, 2021, 3 minute read

The truth is, data silos are inevitable! They exist for excellent reasons, allowing for local control and governance when important to a particular part of your business. Instead of replacing legacy technologies, a data fabric works alongside existing investments and improves their utility.

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Innovation Spotlight: Casalini Libri is Revolutionizing Library Science
Chris Hall
Feb 16, 2021, 4 minute read

We sat down with Casalini Libri CEO Michele Casalini to discuss the Shared Virtual Discovery Environment which Casalini Libri built to bring the data produced and curated by libraries into the broader world of information. Read on to learn more.

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Announcing new and improved Stardog Docs
Noah Gorstein
Jan 21, 2021, 2 minute read

Stardog is happy to announce the release of our new and improved documentation. We’ve added a whole new design, reorganized our content, and added some other notable improvements – read on to learn more.

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Stardog is now on AWS Marketplace
Nalini Mohan
Jan 7, 2021, 2 minute read

Stardog is pleased to announce that our Enterprise Knowledge Graph platform is now listed on the Amazon Web Services (AWS) Marketplace.

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Semantic Search for the Enterprise powered by a Knowledge Graph
Natalie Clark
Dec 16, 2020, 3 minute read

Semantic search ensures employees spend less time searching and more time solving real problems. Learn how Stardog improves search by capturing the meaning of the search terms.

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Connected Enterprises Care about Meaning, Not about Data
Kendall Clark
Nov 17, 2020, 6 minute read

Announcing Stardog Cloud, the industry’s first cloud-native Enterprise Knowledge Graph platform. The key to thriving in the hybrid multicloud world is to build a reusable, resilient data fabric that can keep pace not only with well-understood, scoped projects but also to address unanticipated questions. That’s the real reason why Stardog goes everywhere the data is—on-prem and in the cloud.

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How Data Reusability Accelerates your Enterprise
Natalie Clark
Oct 26, 2020, 6 minute read

Data reusability holds promise for enterprises facing increasing market pressure to innovate. How can a data strategy stand up to this pressure? The key is building a reusable data foundation. Instead of starting from scratch for each new project, what if you could stand on the shoulder of giants? Read on to learn how a data fabric can create a reusable foundation to power iterative innovation.

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Mapping Influence Networks for Strategic Engagement with Key Opinion Leaders
Chris Hall
Oct 25, 2020, 4 minute read

Over the last decade, pharmaceutical sales has shifted from direct sales to individual doctors into a game of influencing a network of payers and providers. Pharma companies need a comprehensive understanding of the KOL landscape and a single tool where they can get it.

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Make your Data FAIR
Natalie Clark
Oct 20, 2020, 8 minute read

What does it take to make data FAIR? Learn how Stardog makes data findable, accessible, interoperable, and reusable to drive key outcomes for top global pharmaceutical companies.

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Identify Promising Drug Targets with a Knowledge Graph
Natalie Clark
Oct 20, 2020, 8 minute read

Knowledge graphs have huge potential in pharma R&D to accelerate drug discovery practices. Learn more about the data challenges facing researchers and how to overcome them.

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