9/12/2023 0 Comments Databricks lakehouse![]() ![]() One of the fundamental aspects of a lakehouse is centralized data governance: The lakehouse unifies data warehousing and AI uses cases on a single platform. The pillars “ Data Governance” and “ Interoperability and Usability” cover concerns specific for the lakehouse.ĭata governance encapsulates the policies and practices implemented to securely manage the data assets within an organization. The well-architected lakehouse extends these with principles and best practices that are specific for the lakehouse and important to build an effective and efficient lakehouse.ĭata Governance and Interoperability & Usability in lakehouse architectures The well-architected lakehouse extends the AWS Well-Architected Framework to the Databricks Lakehouse Platform and shares the pillars “ Operational Excellence”, “ Security” (as “ Security, privacy, compliance”), “ Reliability”, “ Performance Efficiency” and “ Cost Optimization”.įor these five pillars, the principles and best practices of the cloud framework still apply to the lakehouse. Managing costs to maximize the value delivered. The ability of a system to adapt to changes in load. The ability of a system to recover from failures and continue to function. Protect the Databricks application, customer workloads and customer data from threats. The ability of the lakehouse to interact with users and other systems.Īll operations processes that keep the lakehouse running in production. ![]() The oversight to ensure that data brings value and supports your business strategy. The well-architected lakehouse consists of 7 pillars which describe different areas of concern for the implementation of a data lakehouse in the cloud:
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