Data and analytics modernization is about moving from legacy, monolithic, on-premises data architectures to modern, microservices, data architectures on the cloud. These architectures can take advantage of all the benefits from the cloud, including elasticity, decoupled compute and storage, availability, integration, and more.
Data warehouses have traditionally resided in on-premises data centers. Their architecture and infrastructure are not designed to support all the new forms of data efficiently or cost-effectively. Their infrastructure is rigid, and the long-running ETL processes they require affect compute and performance. A modern cloud data warehouse running on AWS offers features and capabilities that address the flaws inherent in traditional predecessors.
Read more about migrating your data warehouse to the cloud in this e-book.
Sponsored by Informatica Corporation, Amazon Web Services
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