January 1, 2024
The Dangers of Dirty Data
January 1, 2024 We all think we know what dirty data is, but it can mean very different things to different people, and depending on who you speak to you could end up with many different defini...
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What is a Taxonomy & Should I Be Using One?
These expert insights are a part of Solutions Review’s Thought Leaders, the resource hub of thought leadership content from InsightJam.com. It surprised me when I first ca...
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New Year Insights for the Procurement Solutions...
For several years now, Spend Matters has been collecting and publishing a series of articles about predictions and insights on procurement, supply and services trends for the y...
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Data Mesh Meets Universal Authorization
Data mesh has attracted intense attention because of its promise to deliver faster analytics in an agile and decentralized manner. It puts the responsibility for data quality an...
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Data Observability Evaluation Criteria
Two decades ago, if someone had questioned the need for application performance monitoring (APM) to perform deep analysis of metrics, traces, and logs, they would be eating thei...
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Top Data Observability Business Use Cases
Data observability has been a hot topic for the past few years in the data space. Several recent blogs have explained why this capability is critical to the success of modern da...
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The Cloud Data Migration Challenge Continues &#...
Cloud data migrations can bring significant operational benefits – not to mention opening up AI/ML use cases. That doesn’t mean these migrations are easy. Getting mi...
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Data Fabric or Data Mesh? Don’t Move Ahea...
Metadata fell out of favor due to its association with static data catalogs – but don’t overlook it. New approaches like data fabric and data mesh have promise. They...
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Distributed Data Sources are Everywhere –...
Cloud data was supposed to enable AI at scale and democratize data. But how do we cope with the new complexities of distributed data? The emerging discipline of DataOps may help...
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