Data continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data ...

What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...

There were 5,524 store closures in the United States alone last year. There is no doubt that the retail industry increasingly is moving to e-commerce. For mid-sized retail companies, this trend can be ...

In this special guest feature, Abdul Razack, SVP of Platforms, Big Data and Analytics at Infosys, discusses how companies are drowning in data overload and are unable to tap into big data reserves to ...

According to Gartner, over 90% of deployed data lakes will become useless as they are overwhelmed with information assets captured for uncertain use cases. This is indeed, an alarming situation. While ...

I see it all the time. A company is excited to have a data lake and all the potential it promises. But things quickly go south from there as expectations don’t easily, or quickly, match up with ...

After the term “big data” became mainstream, the related concept of a “data lake” also gained currency, applying to repositories of information so large they were reminiscent of vast bodies of water.

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First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

There were 5,524 store closures in the United States alone last year. There is no doubt that the retail industry increasingly is moving to e-commerce. For mid-sized retail companies, this trend can be ...