Showing 1 - 4 of 4 pages tagged with: Multi-Cloud

Distributed Data Across Cloud and On-Premises: Opportunities and Challenges

Presentation by Philip Russom, Ph.D. Independent Industry Analyst for Data and Analytics (Formerly an analyst with Gartner, TDWI and Forrester).

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DBTA Report: The Rise of Data Fabric Architecture

Data fabric is a term used to describe a set of technologies, services, and strategies that provide ‘a unified and reliable view’ of data spanning hybrid and multi-cloud environments. Eliminating data silos, surfacing insights more effectively, and increasing the productivity and value of data are some of the ways data fabric can improve data management at organizations.Download this special report to dive into building a data fabric, including key components, challenges, and emerging best practices.

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DBTA Report: Modern Data Management Principles for the Hybrid and Multi-Cloud World

Cloud computing got its start promising greatly reduced complexity for enterprises mired in the spaghetti architectures of multiplatform and multi-function on-premises systems. Lately, the opposite is happening, as cloud environments have become even more complex.These days, just about every cloud-based infrastructure relies on more than a single cloud provider. A multi-cloud approach is the de facto standard among organizations, according to Flexera’s 2022 State of the Cloud Report. Eighty-nine percent of respondents reported having a multi-cloud strategy, and 80% are taking a hybrid...

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How to Simplify Rearchitecting Your Data Infrastructure with a Modern Cloud Data Integration

In Denodo’s global annual cloud survey, a majority 35% of respondents said that they were rearchitecting their data infrastructure to transition their legacy systems to the cloud. Such fundamental change to your existing architecture is like remodeling your home – it’s not easy!Many companies attempt to move all of the on-premises data into a cloud object storage using data migration/replication tools, then transform the data in it to the destination format, and then load the transformed data into their equivalent cloud data systems (like cloud data warehouse). This approach is no different...

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