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Simplifying Big Data Projects with Data Virtualization

Data Virtualization

According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard! There is not one specific.

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Governance and Fighting the Curse of Complexity

CIO

The boulder is made from complex infrastructure, network connections, data stores, and devices. One is made from the growing plethora of tools that harmonize, integrate, and simplify complex operations. Data at rest. Data in motion. There are options that help companies manage disparate tasks, projects, and resources.

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6 most underhyped technologies in IT — plus one that’s not dead yet

CIO

They really simplify environments that are heterogeneous,” notes Buccola, who is also an officer with the Southern California chapter of the Society for Information Management.) “You Data management software Although AI gets all the attention, the key components that make it work often do not, including data.

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Data Analytics: Strategies to Demonstrate Value and Achieve Transformation

CIO

Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. Supply and consumption are symbiotic principles that together maximize the value of the enterprise data asset.

Analytics 252
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The University of Phoenix and Expedient: Making the Transformation from a Legacy Datacenter to Software-Defined Excellence

CIO

The result of years of consolidation, the sprawling facility was the home of more than 40 networks, different virtualization platforms and hypervisor levels, nearly 10,000 virtual machines, 585 servers, and a massive collection of legacy software. Getting the data center under control. Jamie knew something had to be done.

Software 239
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Setting up the new dbt Semantic Layer and testing with DBeaver

Xebia

This is also what we pursue as Data professionals. How can we ensure that two different dashboards, or any other data consumer, is calculating the metrics (revenue, for example) in the same way? It is a virtual layer that sits between the raw data and the end-user, providing a simplified and unified view of the data.

Testing 130
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12 famous ERP disasters, dustups and disappointments

CIO

But after a spate of high-profile failures, there are signs that vendors and customers are working hard to ensure the success of their ERP projects. The company is busy restructuring in the wake of the pandemic, simplifying its product lines and adapting its supply chain to the new reality.