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In a GenAI World, Do I Still Need a Data Catalog?
Who doesn’t love a data catalog? When you need several data sets to power a new analysis, you go to the data catalog....
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AI and Graph Data Technology: Why 1 + 1 = Much ...
AI is revolutionizing business models and technology infrastructures. Graph database technology, critical to enabling...
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Analytics 2025: Ignore These Trends at Your Peril
Change Is Upon Us, Will We Change as Well? “The world as we have created it is a process of our thinking. It cannot b...
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Why AI Needs Good Semantics, And What to Do Abo...
That’s Just Semantics How often have you heard someone exasperatingly state, “That’s just semantics,” when claiming t...
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How to Create Hit Data Products in an AI World
Are Your Data Products Platinum Hits or Just Background Noise I recently attended a Rolling Stones concert here in Si...
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AI for Data Engineering: The Good, The Bad, and...
A tour de force among Western genre movies, with its unrivaled cast featuring Clint Eastwood as “the Good,” Lee Van C...
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Part 4: How Data Virtualization-as-a-Service Ad...
Against these forces, traditional data integration approaches, designed for simpler, less competitive times, don’t st...
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To Succeed In 2025, Data Engineers Need to Beco...
When asked how he addresses difficult and complex challenges, Microsoft founder Bill Gates replied, “I will always ch...
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Is a Data Fabric Still the Path to Frictionless...
Two and a half years ago, in mid-2021, I wrote a blog about data fabrics as a path of frictionless data access, a dat...
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