creating-agile-bi-infrastructure-data-virtualization 
Data Virtualization
DECEMBER 15, 2022
Reading Time: 3 minutes One of the biggest challenges for organizations is to integrate data from various sources. Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.
datapine
MAY 31, 2022
It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.
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BI-Survey
AUGUST 21, 2020
Data warehousing is getting on in years. However, data warehousing and BI applications are only considered moderately successful. Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. What role do technology and IT infrastructure play?
CIO Business Intelligence
JANUARY 10, 2024
Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Refactor your applications to take advantage of web services or serverless capabilities, and re-architect your infrastructure to optimize resource usage,” he says.
Cloudera
JANUARY 21, 2021
If so – you are likely one of the growing group of Line of Business (LoB) professionals forced into creating your own solution – creating your own Shadow IT. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.
Sisense
AUGUST 28, 2019
With the introduction of VMware in the 1990s, developers embraced the ability to run their applications on virtual machines that could then run on any physical machine architecture. But what does cloud-agnostic have to do with your chosen BI platform? What does it mean for your data?
CDW Research Hub
OCTOBER 12, 2021
Creating a modern data platform designed to support your current and future needs is critical in a data-driven organization. Business leaders need to quickly access data—and to trust the accuracy of that data—to make better decisions. Unreliable Data as a Service (DaaS) implementations.
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