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Many companies eagerly embrace big data initiatives, often giving them something of a permanent green light or blank check because of potential future business value.
Now, as business leaders begin to expect returns on data initiatives, it’s important to ensure you can justify and control the spending related to your data lake—which, while imperative for handling big data workloads, are often the source of cost leakage or lackluster financial governance.
Read on to learn 3 ways you can reduce the cost of your data lake and prove its financial value.