Category: Software, Business, Data, automation

There is a mindboggling amount of data today; to even measure it requires using a byte measurement called a zettabyte, which is one sextillion bytes (that’s 21 zeros). Currently, because such a ridiculous amount of data exists, there is a growing urgency to end wasteful data processes.

Similar to the way that enterprises adopted DevOps to formalize and streamline wasteful development practices in the past, today, many large organizations turn to DataOps to formalize modern data management practices.

Although orchestration in the DataOps pipelines occurs frequently and drives data flows, there is usually no such coordination of pipelines in application development and DevOps processes.

Tools: DevOps is the ‘father’ of DataOps, and as such, the tools needed to support the latter are still in their infancy.

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