In a data-obsessed world, dealing with big data has its advantages and challenges. In order to mitigate the challenges and make…
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Key Criteria for Evaluating Data Governance Solutions
In this era of digital transformation, organizations looking to gain and maintain their competitive edge are constantly trying to improve the…
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GigaOm Radar for Data Governance Solutions
In the era of digital transformation, organizations employ analytics to gain and maintain a competitive edge by constantly improving the value…
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The Future of Data Agility in the World’s New Normal
The pandemic may be receding, but emergent situations like fires, hurricanes, and other events disruptive to business continue to arise frequently.…
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GigaOm Radar for Data Warehouses
Data warehouse platforms are an established part of the enterprise technology stable and a go-to solution for managing data at scale…
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GigaOm Radar for Automated Machine Learning (AutoML)
Automated machine learning (AutoML) is regarded as a “quiet revolution” in AI. But what makes AutoML revolutionary is not just automation…
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Key Criteria for Evaluating AutoML
Automated machine learning (AutoML) is regarded as a “quiet revolution” in AI. What makes AutoML revolutionary is not just automation and…
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Data Warehouses and the Distributed Cloud: Managed Disruption
Data warehouse platforms have been around for decades, with a long and interesting journey from the appliance-based products that typified their…
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Machine Learning: Production-Grade and Industry-Strength
Enterprises and startups alike are moving past the novelty phase of artificial intelligence (AI) and machine learning (ML) into a mature…
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Key Criteria for Evaluating Data Warehouses
Data warehouse platforms are a stable part of the enterprise technology landscape, and have been a go-to solution for many years…
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Modernize Your Data Pipelines with Multi-Modal Change Data Capture
They may be cliché by now, but the volume, variety, and velocity of data are real and continue to accelerate. Data…
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GigaOm Radar for Data Catalogs
In today’s technology environment, many organizations find themselves trying to analyze data dispersed across numerous, disparate sources, including databases, data warehouses,…
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