A new paradigm for data management

A new paradigm for data management

A new paradigm for data management

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Regeneron isn’t the only company looking to extract more value from its data. Despite the massive amounts of data they collect and the amount of capital they invest in data management solutions, business leaders are still not benefiting from their data. According to an IDC study, 83% of CEOs want their organizations to be more data-driven, but they struggle with the cultural and technological shifts needed to execute an effective data strategy.


In response, many organizations, including Regeneron, are turning to a new form of data architecture as a modern approach to data management. In fact, by 2024, more than three quarters of current data lake users will invest in this type of hybrid “data lakehouse” architecture to improve the value generated from their accumulated data, according to Matt Aslett, research director at Ventana Research.

“Data Lakehouse” is the term for an open, modern data architecture that combines the performance and optimization of a data warehouse with the flexibility of a data lake. But achieving the speed, performance, agility, optimization, and governance promised by this technology also requires adopting best practices that prioritize business goals and support enterprise-wide collaboration. business.

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This content was produced by Insights, the custom content arm of MIT Technology Review. It was not authored by the editorial staff of MIT Technology Review.


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