Data lakes have emerged as a pivotal solution for organisations seeking to harness vast, heterogeneous datasets. This strategy involves storing raw data in its native format in a centralised ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...

Federated, distributed data management that enables users to manage a single lake or multiple lakehouses across regions, preventing query interference, improving security, and driving granular RBAC by ...

Data lakes have become the cornerstone of many big data initiatives, just as they offer easier and more flexible options to scale when working with high volumes of data that’s being generated at a ...

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 ...

Launch enables machine learning (ML) teams to transform and analyze real-time data from their data lake without the need for complex real-time data pipelines Arize leads the industry in both volume of ...

PALO ALTO, Calif., Oct. 1, 2019 /PRNewswire/ -- Ascend, provider of the world's first Autonomous Dataflow Service, today announced the general availability of its Structured Data Lake, allowing users ...