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.​