Data Warehouse basics for absolute beginners in 30 mins
Learn data warehouse fundamentals! Explore architecture, dimensional modeling, and schema design (star & snowflake). Understand facts vs. dimensions for effective data analysis.
Course Content
Data Warehouse basics for absolute beginners in 30 mins is a beginner-level Udemy course taught by Eshant Garg | | LearnCloud.Info | 100,000+ Enrollments. It runs 33m and is taught in English. Learners rate it 4.5 out of 5 from 1,440 reviews, with 18,420 students enrolled. It is free to enroll, last updated July 2021.
Microsoft Azure Synapse SQL Data Warehouse: Fundamentals for Beginners
This module provides a crash course into the fundamental concepts of Microsoft Azure Synapse SQL Data Warehouse, designed specifically for absolute beginners. It's the perfect starting point to accelerate your learning journey in the full Azure Synapse Analytics course.
Is this module right for you?
- Ideal for: Individuals who want to grasp the basic principles of cloud data warehousing.
- Not for: Those with existing experience, seeking intermediate or advanced topics, or looking for practical examples and demos.
This free module aims to provide a solid foundation. If you're not a beginner, we encourage you to explore other resources.
Where to find the full course:
Check out the bonus lecture at the end of this module for a link to the complete course!
What you'll learn:
- Microsoft SQL Data Warehouse (Crash Course): A focused introduction to cloud warehousing concepts.
- Level: Beginner
- Intended Audience: Database and BI developers, Database Administrators, Data Analysts, and anyone new to data warehousing.
- Language: English (Please note: Due to the complexity of the concepts, this course is not recommended for those uncomfortable with English. Captions may not be sufficient.)
- Prerequisites: Basic T-SQL knowledge and understanding of database concepts.
Course Content Overview:
In this module, you'll discover:
- What is a Data Warehouse? Understand its purpose and how it differs from traditional transactional databases.
- Dimensional Modeling: Learn this key database design method optimized for data warehouse solutions.
- Facts and Fact Tables: Explore the concept of facts and their corresponding fact tables.
- Dimensions and Dimension Tables: Understand dimensions and their associated dimension tables.
- Star Schema & Snowflake Schema: Learn how these table structures are used to join facts and dimensions.
This module lays the groundwork for your journey with Azure Synapse Analytics (formerly Azure SQL Data Warehouse).
[Tags]: Microsoft SQL Server, Azure SQL Server, Azure SQL Data Warehouse, Data Factory, Data Lake, Azure Storage, Azure Synapse Analytics Service, PolyBase, Azure monitoring, Azure Security, Data Warehouse, SSIS
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