TDWI Checklist Report | Open Cloud Data Storage: Four Best Practices for Maximizing Flexibility and Interoperability in the Enterprise Open Data Lakehouse
September 4, 2024
A data lakehouse provides a unified enterprise platform for data-driven decision support, business intelligence, advanced analytics, machine learning, and artificial intelligence.
The data lakehouse architecture includes functions for data storage, data pipelines, AI and machine learning, data governance, data protection, and more. Unification of these disparate capabilities is achievable with an open lakehouse architecture.
Enterprises are adopting data lakehouse architectures because they want unified views of enterprise data assets on interoperable storage. This setup allows them to use more diverse, more flexible tools for analyzing, manipulating, and otherwise consuming their data.
This TDWI Checklist discusses four best practices that will help ensure that enterprises maximize the usefulness, flexibility, and interoperability of the cloud storage layer in their open data lakehouses.