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Migrating a conventional data warehouse to the Amazon Web Services (AWS) Cloud: Crucial factors to ponder

Key factors to consider during a data warehouse migration to Amazon Web Services (AWS) cloud.

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Pivotal points to consider during data warehouse migration to Amazon Web Services (AWS) cloud:
Pivotal points to consider during data warehouse migration to Amazon Web Services (AWS) cloud:

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Migrating a conventional data warehouse to the Amazon Web Services (AWS) Cloud: Crucial factors to ponder

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[1] Digital transformation challenges: https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/why-data-leads-digital-transformation[2] AWS Database Migration Service (DMS): https://aws.amazon.com/dms/[3] AWS Best Practices for OpenSearch Service: https://aws.amazon.com/opensearch-service/best-practices/[4] AWS Migration Hub: https://aws.amazon.com/migration-hub/[5] Change Data Capture (CDC) in AWS DMS: https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Task.FullLoad.html#CHAP_Task.FullLoad.CDC

  1. In the realm of digital transformation, data-and-cloud-computing solutions like Amazon Web Services (AWS) can help businesses embrace predictive analytics and data analytics, enabling them to make data-driven decisions and stay ahead in the race.
  2. As part of their digital transformation journey, CTOs should familiarize themselves with the latest advancements in technology, such as AI agents and agentic AI, and explore how these can be leveraged in conjunction with data analytics to drive predictive analytics and Digital Transformation further.

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