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In the era of big data, enterprises are increasingly leveraging cloud platforms to manage and process vast amounts of information. However, vendor lock-in, regulatory requirements, and cost considerations necessitate a cloud-agnostic approach to building data products. Cloud-agnostic solutions provide flexibility, scalability, and resilience by allowing organizations to operate seamlessly across multiple cloud providers (AWS, Azure, GCP) and on-premises infrastructures.
Why Cloud Agnostic Data Products Matter:
- Avoiding Vendor Lock-in: Independence from a single cloud provider ensures cost efficiency and operational flexibility.
- Regulatory Compliance: Enables organizations to meet jurisdictional data sovereignty requirements.
- Enhanced Business Continuity: Reduces risk by enabling failover across multiple cloud environments.
- Optimized Cost Management: Leverages cost-efficient compute and storage options across different clouds.
What is a Data Product?
A data product is a collection of data that is domain-specific, consumable, organized and presented in a way that is useful for a specific purpose or use-case. Data products can be used to solve business…
