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The modern data stack has emerged as the solution for organizations drowning in fragmented, siloed, and slow-moving data. In the past, traditional architectures often required heavy engineering effort, lacked agility, and struggled with scaling. Now, businesses demand real-time analytics, self-service capabilities, and a flexible infrastructure that adapts quickly to new needs.  By leveraging cloud-native tools, …