Building Modern Data Architectures
As the amount of data multiplies, the challenges of managing this data have multiplied, too. Data now has to be put into the hands of more decision makers. It needs to be used to speed new services and manage compliance. It must be available to applications. It's particularly essential to deliver this data to modern analytics applications that transform IT operational efficiency, boost security, and improve business operations and customer experiences. And customers need to be able to choose where this data is analyzed (close to the data source, or moved as needed).
Right now, as more organizations go through digital transformation, they're struggling with an ever-increasing amount of unstructured data. This data is coming from sensors, logs, video, and text forms, as well as from the modern applications they've upgraded to.
Until recently, organizations could rely on storage appliances that supported the needs of a single application or type of workload. However, many organizations are limited by how their legacy infrastructure is able to manage so much unstructured data. They must deal with higher costs, increased inefficiencies, and greater complexities. And with so much data trapped in storage silos, they're less able to meet their urgent business requirements.
Read more to find out about building modern data architectures and UFFO.
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Related Categories: Analytics, Applications, Capacity Planning, Cloud, Compliance, Data Analytics, Data Storage, DevOps, Digital transformation, ERP, IOT, Network, Software, Storage, Storage Management
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