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Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle…
Reading Time: 5 minutes The data landscape has become more complex, as organizations recognize the need to leverage data and analytics for a competitive edge. Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more. Many…
Reading Time: 3 minutes Digitization has been a boon for financial services, bringing the industry into a new age. However, it has also brought massive and growing data volumes that can be either a goldmine or an indecipherable pool, depending on each organization’s ability…
Reading Time: 4 minutes My previous post explained that, in my mind, the data lakehouse differs hardly at all from the traditional data warehouse architectural design pattern (ADP). It consists largely of the application of new cloud-based technology to the same requirements and constraints…
Reading Time: 2 minutes Organizations are looking for new ways to gain greater efficiency, flexibility, and performance from their data infrastructures. This is why data mesh is one of the most exciting new developments in the technology arena, particularly in data science and analytics….
Reading Time: 3 minutes When customers approach Denodo to ask for help with their data integration complexities, we typically see issues such as data siloes, legacy applications, digital transformation, mobile enablement, real-time data needs, cloud and SaaS application integration, to name but a few….
