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6.01 Introduction to Synapse Warehouse in Microsoft Fabric

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Fikrat Azizov

   • Microsoft Fabric For Beginners  
In this video, I explain what Synapse Warehouse Service in Fabric, and what capabilities it includes.
I also explain the purpose of the Mirroring feature. Next, I explain important data ingestion architecture options and demonstrate usage of Dataflow Gen2, shortcuts and SQL commands, like COPY INTO, Create Table AS (CTAS) and INSERT INTO.
Chapters:
00:00 Introduction
00:43 Preview
03:34 Overview Synapse Warehouse Service
05:14 What is Mirroring and how it works?
05:53 What are the differences between Warehouse and Lakehouse?
07:53 Data Ingestion methods
10:27 Sample Warehouse data ingestion architecture direct ingestion
11:07 Sample Warehouse data ingestion architecture data ingestion through Lakehouse
12:45 Demo 1: Exploring sample warehouse UI walkthrough, querying
16:21 Demo 2 Exploring Visual Query feature
17:00 Demo 3: Connecting to the warehouse from SQL clients (SSMS)
17:18 Demo 4: Creating the first warehouse, schema and table objects
21:20 Demo 5: Using Dataflow Gen2 to ingest data into the warehouse
24:31 Demo 6: Using command tools for data ingestion COPY INTO command. How to handle errors?
30:44 Demo 7: Using INSERT INTO command
31:15 Demo 8: How to use shortcuts to Lakehouse tables?

You can download the demo artifacts here:
SQL Script: https://github.com/fazizov/youtube/bl...
Data:
https://github.com/fazizov/youtube/bl...

Please subscribe:    / @fazizov  
Follow me on Linkedin: www.linkedin.com/in/fikratazizov865a0528
and X: @fikrat_azizov
Check out these tutorials to learn more about:
Data Pipelines:    • 1.02 What Are Microsoft Fabric Data ...  
Dataflow Gen2:    • 2.01 Dataflow Gen 2 EndToEnd Tutori...  
Synapse Data Engineering in Microsoft Fabric:    • 3.01 Get Started With Synapse Data En...  
RealTime Analytics in Microsoft Fabric:    • 4.01 Introduction to RealTime Analyt...  

Official Documentation:
https://learn.microsoft.com/enus/fab...
https://learn.microsoft.com/enus/sql...

Hashtags:
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