AI—both operational and generative—is knocking on enterprises’ doors, forcing data managers to make new architectural choices on what it will take to support these data-hungry initiatives. Data mesh ...

Legacy architecture and monolithic data platforms can pose significant challenges to effectively scaling data and analytics. While data sources, domains, and consumers all continue to proliferate and ...

With the increasing complexity of data sources scattered across a hybrid, multi-cloud data estate, enterprises require a high-quality and secure data foundation. Learn how data mesh & data fabric can ...

When tech giants like Netflix and Intuit adopted the data mesh architecture, it looked like the next big thing. A few short years later, disillusionment has set in, with companies turning their backs ...

In this data-intensive era, traditional architectures fall short given the explosive growth: 90% of data has emerged in the past two years, with daily contributions of 328 million terabytes. As AI, ...

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 ...

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