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Weaving Data Fabric into Hybrid Multicloud

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Data Fabric is important— and not just to Data Engineers.

Everyone involved in technology-driven business transformation should understand the concept of data fabric. As large enterprises continue to evolve in response to constant competitive pressures and unforeseen events such as the current pandemic, data fabric will help many of them “pass their genes” along to their organisations’ future iterations. Today, enterprise investments in expanded data and data analytics capabilities continue to be strong, as are investments in hybrid multicloud architectures. As software “eats the world,” it is doing so on a high-protein diet of intelligent data and hybrid cloud.

Key Takeaways:

Clear Benefits: While Data Fabric technology may seem complicated, its benefits are easy to understand: the right data available at the right time to the right application, no matter where that application runs in a hybrid multicloud environment.

Boundaries Matter: Data Fabric manages three critical boundaries that are important to running intelligent data on distributed, hybrid cloud environments: boundaries shared by data platforms, by clouds and cloud providers, and by an enterprise’s transactional and analytical data operations and communities.

Bringing all Data Capabilities to Bear: Enterprises investing in Artificial Intelligence (AI), machine learning, Internet of Things (IoT), and edge computing can use Data Fabric to weave together the transactional and analytical sides of their data capabilities.

Clearing The Path to Value: Getting business value from a Data Fabric implementation depends a great deal on how well the enterprise has cleared nontechnical obstacles it will face.

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