Course Overview
Overview
Live demonstration of several metadata-driven reusable assets that are integral to the Lakehouse implementation on Microsoft Fabric. Key components: Metadata Driven Ingestion Framework, Data Validation Framework, & Data Profiling. We'll share best practices and utilities tailored for analytics use cases, such as transitioning from Analytics to AI, P to F SKU migration, and leveraging AI through BI. We will discuss valuable lessons learned from our customer engagements for analytics use cases.
Course Modules
Modules
SQL Database in Microsoft Fabric Customer Scenarios
Live demonstration of several metadata-driven reusable assets that are integral to the Lakehouse implementation on Microsoft Fabric. Key components: Metadata Driven Ingestion Framework, Data Validation Framework, & Data Profiling. We'll share best practices and utilities tailored for analytics use cases, such as transitioning from Analytics to AI, P to F SKU migration, and leveraging AI through BI. We will discuss valuable lessons learned from our customer engagements for analytics use cases.