Intelligent CIO Africa Issue 60 - Page 38

CIO OPINION
Traditional database management is done through an error-prone siloed approach to provisioning or cloning , which is time-consuming and makes troubleshooting exceptionally difficult .
Paulo Pereira , Senior Director , Systems Engineering – METI , Nutanix

The future of databases is maximally available invisible infrastructure

Paulo Pereira , Senior Director , Systems Engineering – METI at Nutanix , talks about the future of databases , integrated database management software , automation and how IT leaders across the region can simplify management , enjoy one-click simplicity and invisible operations to database provisioning , lifecycle and copy data management .

A data-driven culture is needed if a business wants to lead through digital innovation . But traditional data management infrastructures are rigid and unable to combine diverse data types . Then there is the challenge of storing , managing and securing growing volumes of data and extracting insights out of it . Throw in cloud data and the fact that data is moving closer to the application and the user , and it becomes a hotbed of poorly managed databases sullying the role of analytics .

Those organisations that are unable to access accurate , timely , relevant , and reliable information from their data run a legacy data centre infrastructure based on proprietary SAN arrays and storage fabric networks . These “ hardware-defined ” data centres are , in essence , the first problem . What is needed is a data services platform that supports open architecture and is maximally available , assuring business of continuous access and insights from the data , where the infrastructure itself is effectively invisible to users .
Open architecture
To turn data into a competitive advantage , one needs to understand that data comes from different business areas and needs to be organised in three primary ways , namely relational databases , unstructured data and high-velocity data . Because data is diverse , its collection often results in the formation of silos or individual repositories and as there is no cohesion between these sources because storage formats and data types differ .
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