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Cloud Data Warehouse & Data Lake

Last Updated Date Mar 28, 2024
Stages Cloud Data Warehouse & Data Lake Best Practice
pimo-stages-mon-23.png

Monitor

Once the analytics solution is deployed and delivering results, the project moves into an operations and monitoring phase. The IT operations team generally takes over the day-to-day running of the infrastructure from the data scientists or consulting team.

Your next generation analytics will quickly become a core part of your business operations, so it’s critical to understand how all the components are operating and performance. It’s essential to be notified when issues occur or operational performance falls below acceptable thresholds.

Monitor the system performance to ensure service-level agreements are met and monitor usage and data quality. Monitor the size and variety of your data sets, your data management capabilities, and analytics models to ensure that they continue to meet the business needs.

You may continue to augment your staff with consultants who have relevant experience. It’s often difficult to find employees with Hadoop and data lake skills, and consultants can help reduce project risks, shorten time to delivery, and provide a valuable transfer of knowledge to your employees over time.

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