Microsoft Fabric Lakehouse: What is semantic models and how to connect to it through PowerBI

Semantic Model in Microsoft Fabric Lakehouse
What is SQL end point in lakehouse
What is default semantic model in lakehouse
Microsoft fabric data pipeline script activity: • 03 Microsoft Fabric Da...
Microsoft Fabric data Lakehouse end to end project - • 003 Microsoft Fabric L...
If you want to know more about Microsoft Fabric data Warehouse, Please watch below videos-
1. Create Microsoft Fabric Data warehouse: • 001 Microsoft Fabric D...
2. load data into Microsoft Fabric data warehouse using Data Pipeline: • 02 Microsoft Fabric Da...
3. Create table in Microsoft Fabric data warehouse: • 003 Microsoft Fabric D...
4. load data into Microsoft Fabric data warehouse using Copy into Command: • 003 Microsoft Fabric D...
5. Transform and load data into Microsoft Fabric data warehouse using T-SQL Procedure - • 004 Microsoft Fabric D...
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------------------------------Microsoft Fabric Overview------------------------------------------
Microsoft Fabric is an end-to-end analytics solution with full-service capabilities including data movement, data lakes, data engineering, data integration, data science, real-time analytics, and business intelligence-all backed by a shared platform providing robust data security, governance, and compliance. The platform is built on a foundation of Software as a Service (SaaS), which takes simplicity and integration to a whole new level.
With Fabric, you don't need to piece together different services from multiple vendors. Instead, you can enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs.
Microsoft Fabric brings together new and existing components from Power BI, Azure Synapse, and Azure Data Explorer into a single integrated environment. These components are then presented in various customized user experiences.
With this new tool Data Engineers can visually integrate data from multiple sources, data scientists can model and transform data, data analysts can bring together multiple datasets and enable deeper insights, data stewards can govern data all from one place, business users can work directly with data uncovering and shaping the intelligence they need to make critical decisions that drive growth.
Fabric brings together experiences such as Data Engineering, Data Factory, Data Science, Data Warehouse, Real-Time Analytics, and Power BI onto a shared SaaS foundation. This integration provides the following advantages:
* An extensive range of deeply integrated analytics in the industry.
* Shared experiences across experiences that are familiar and easy to learn.
* Developers can easily access and reuse all assets.
* A unified data lake that allows you to retain the data where it is while using your preferred analytics tools.
* Centralized administration and governance across all experiences.
With the Microsoft Fabric SaaS experience, all the data and the services are seamlessly integrated. IT teams can centrally configure core enterprise capabilities and permissions are automatically applied across all the underlying services. Additionally, data sensitivity labels are inherited automatically across the items in the suite.
Fabric allows creators to concentrate on producing their best work, freeing them from the need to integrate, manage, or understand the underlying infrastructure that supports the experience.
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[@glvjunk]

This is the best end-to-end tutorial that I have ever seen. Great Job !!!! Thank you

[@gagansingh3481]

Sir could you please make a video on Azure log analytics for Semantic Model and azure mirroring in fabric

[@reneshbrothers3186]

Hi Vishnu.. can I get your contact details