Abstract:
Between data quality issues, distributed data, over-burdened teams, rising costs, and increased risk, the complexity of today’s data ecosystem hinders democratization of data and analytics. This is a big reason organizations are turning to DataOps, an agile, automated, and process-oriented methodology used by data stakeholders to improve the quality, delivery, and management of data and analytics.
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