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Modernize Your Data Architecture with Data Virtualization

Data Virtualization

Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

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Modernize Your Data Architecture with Data Virtualization

Data Virtualization

Practically overnight, organizations have been forced to adapt by modernizing their data architectures to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

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Trends in Establishing a Data-Driven Enterprise

Corinium

Organizations aiming to become data-driven need to overcome several challenges, like that of dealing with distributed data or hybrid operating environments. What are the key trends in companies striving to become data-driven.

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Performance in Logical Architectures and Data Virtualization with the Denodo Platform and Presto MPP

Data Virtualization

Reading Time: 2 minutes In the realm of logical architectures and data virtualization, one question consistently arises: Can these architectures deliver the performance required for complex analytics scenarios? Today, we’ll explore the answer to this pressing question and dive into the game-changing integration of.

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How Zero Trust is supposed to look

CIO Business Intelligence

Zero trust has quickly cemented itself as the go-to solution to the problems of these perimeter-based architectures. Sometimes it is described as a specific capability or yet another appliance (either hardware or virtual). Zscaler In terms of the “what,” this architecture should secure anything and everything within an organization.

B2B 98
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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 112
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Mastering identity security: A primer on FICAM best practices

IBM Big Data Hub

Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets. By leveraging IBM technology, you can implement the provided architectural sample to facilitate a FICAM deployment: Figure 1.

Risk 96