This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach.

As organizations work to make big data broadly available in the form of easily consumable analytics, they should consider outsourcing functions to the cloud. By opting for a Big Data as a Service solution that handles the resource-intensive and time-intensive operational aspects of big data technologies such as Hadoop, Spark, Hive and more, enterprises can focus on the benefits of big data and less on the grunt work.

The advent of big data raises fundamental questions about how organizations can embrace its potential, bring its value to greater parts of the organization and incorporate that data with pre-existing enterprise data stores, such as enterprise data warehouses (EDWs) and data marts.

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