If you work in IT, you're no doubt familiar with dev ops. Now a new methodology has come along with the digital transformation, data ops. This is a newer concept that you may not be familiar with, but it's legit and here to stay.
Read on to learn more.
A Dev Ops Review
Dev ops is a methodology or approach to software development and implementation. It bridges the gap between software development and IT infrastructure.
Dev ops uses an Agile approach in which pieces of a project are developed and completed in short controlled sprints and then implemented step by step at pre-determined junctures.
The key thing to remember is that dev ops is all about constant, automated deliverables rather than one "big bang" or giant final deliverable at a predetermined end date.
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What is Data Ops?
Data ops is centered around automated processes that help enterprise-level organizations process data in better, more efficient ways in order to optimize business processes.
It makes use of Agile processes and workflows from dev ops and is essentially a combination of dev ops and data analytics.
Dev ops produces software. Data ops produces data reports and other data-related products - it's geared towards data scientists and helping with business intelligence and business analysis.
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Why it Matters
You should care about this because as organizations plan and implement their digital transformation strategies, they need to consider big data.
How an enterprise-level organization manages its big data collection and processing as well as how it attempts to derive information and relevant insights from said data can mean the difference between success and failure.
Data ops is how your organization can better attack, in an organized and strategic way, all these facets of the digital, data-driven world that we live in today.
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