8 Modernization “Gotchas” & How to Avoid them with Data Observability

Modernization in the context of data management can involve various approaches such as replacing existing technology with new ones or moving to the cloud. The benefits of modernization include business outcome focus, increased scalability and elasticity, and accelerated speed of execution. However, wholesale changes like a complete "lift and shift" to the cloud may not always be effective. Some common pitfalls in modernization efforts include losing control, retaining redundant data, migration costs, tech sprawl, data migration risks, data swamp, uncontrolled resource usage, and cost vs benefit analysis. Data observability can help reduce risk in a modernization strategy by providing end-to-end visibility into data, processing, and pipelines.

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