If there’s one thing a modern business needs, it’s data—as much of it as possible. Starting with data warehouses and now with data lakes, we’re using on-premises and cloud tools to manage and analyze ...

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The data lakehouse, data fabric, and data mesh, are no longer just dreams shared by analysts at conference presentations. A new survey of more than 200 IT leaders by Unisphere Research, a division of ...

While the emerging constellation of next-generation data architectures—fabric, mesh, and cloud—is extremely appealing, it’s still full of unknowns. These approaches present opportunities for greater ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Digital transformation is driving organizations as fast as they can to implement data-driven ...

Throughout my career, enterprise data management paradigms have come and gone. Let’s briefly trawl some data management history to understand how data fabric emerged. Okay, “data swamp” is somewhat ...

The evolution of data architecture for analytics began in earnest with relational data warehouses. Although these systems were good at generating insights from historic data, and thus offered some ...

Data fabric acts as a flexible, unified architecture that connects diverse data sources, improving data quality and contextualization. Implementing a data fabric can significantly reduce unplanned ...

Your CEO knows what a database is and probably thinks a data warehouse is a large data vault used for reporting and analytics. They know little about NoSQL data stores, why they need a Spark cluster, ...

Throughout my career, enterprise data management paradigms have come and gone. Let’s briefly trawl some data management history to understand how data fabric emerged. Okay, “data swamp” is somewhat ...