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Data people face a challenge. They must put high-quality data into the hands of users as efficiently as possible. DataOps has emerged as an exciting solution. As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. Accenture’s DataOps Leap Ahead.
Consequently, AIOps is designed to harness data and insight generation capabilities to help organizations manage increasingly complex IT stacks. It uses CI/CD pipelines to automate predictive maintenance and model deployment processes, and focuses on updating and retraining models as new data becomes available.
Through practical examples with AWS Glue jobs, this blog demonstrates how to query Icebergs metadata tables using SQL and turn hidden information into actionable insights. Youll learn to monitor data file changes, audit data growth patterns, and reduce troubleshooting timewithout adding new tools or unnecessary complexity.
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