Scotty Calkins , Senior Systems
Engineer at Datadobi
About Scotty Calkins , Senior Systems Engineer , Datadobi
Scotty Calkins , Senior Systems Engineer at Datadobi , has held nearly every position across IT – from development and delivery , to service and support , to sales and administration . Leveraging this enviable depth and breadth of hands-on experience and expertise , and deep knowledge of interdepartmental data management dynamics , Calkins engineers , implements , and helps to ensure successful channel partner and end client solutions . Prior to Datadobi , Calkins held leadership positions with organizations such as Dell EMC and Netsmart Technologies .
so puts them in the driver ’ s seat to control their unstructured data .
Here ’ s what to evaluate in potential solutions :
1 . Does the solution organize and categorize unstructured data ? This allows IT leaders to understand what data they have , where it is and who owns it .
2 . Can users create automatic unstructured data management jobs ? Once enterprise IT teams understand how much unstructured data they have , where it resides , the types of data they have , and how active it is , the solution should be able to enable teams to complete necessary data management projects automatically .
3 . No matter where your unstructured data lives , can the solution scan and manage it ? Regardless whether an organization ’ s data lives in one data center , across multiple on-premises systems and the cloud , or is scattered across the globe , the solution should be able to scan and manage it .
4 . Does the solution tag the data ? Can you apply user-defined tags . Identifying characteristics such as data ownership , location , sovereignty requirements , relationship to projects and so on ?
5 . What does the presentation of the information look like ? UI is one of the most important factors to evaluate . It should be easily accessible in a single dashboard .
6 . Does the solution present cost information ? A valuable function of a data management solution should allow you to examine the cost of storing individual datasets both interms of financial cost and also in terms of CO 2 emissions associated with the data . Perhaps there are more efficient locations for those datasets depending on how active they are .
7 . Does it support action tagging ? Action tags allow administrators to take action on unstructured datasets of interest . For example , based on cost the decision might be made to relocate data so applying a migration action tag to the desired dataset instructs the software to execute that activity .
In summary , the solution should provide more pervasive visibility to enable smarter data decision-making and budgeting to manage cost , carbon footprint and risk while maximizing unstructured data value .
Managing unstructured data today can easily seem like it ' s like being in the Wild West , but it doesn ’ t have to be . When equipped with the right unstructured data management solution , IT leaders can successfully navigate the challenges ahead and ride off into the sunset . p
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