Azure SQL Data Warehouse Synapse Analytics Service

Cloud Data Warehouse in Azure Synapse Analytics Service (formerly Azure SQL Data Warehouse). [Covered: DP-200, DP-201]
4.41 (1366 reviews)
Udemy
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IT Certification
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Azure SQL Data Warehouse Synapse Analytics Service
7 786
students
7 hours
content
Jan 2024
last update
$29.99
regular price

Why take this course?

它 appears that you've provided an outline for a comprehensive course on Azure SQL Data Warehouse, including data loading, security, configuration and optimization, as well as a crash course on what a Data Warehouse is and how it functions. This course seems to be designed to cover all the essential aspects of working with Azure SQL Data Warehouse, from the basics to more advanced topics like security, monitoring, and performance tuning.

Here's a brief summary of the key points covered in your outline:

  1. Data Loading in MPP Architecture: Understanding the best practices for loading data into a Massively Parallel Processing (MPP) architecture, which is what Azure SQL Data Warehouse uses.

  2. Loading Methods: Learning about different methods to load data into Azure SQL Data Warehouse, specifically focusing on Single client loading methods and Parallel readers loading methods.

  3. SSIS vs PolyBase: Comparing the two methods for loading large tables into Azure SQL Data Warehouse, with a focus on why PolyBase might be preferred.

  4. PolyBase Process: Detailing the steps to set up PolyBase for data loading, including its advantages and use cases.

  5. Security in Azure SQL Data Warehouse: Covering the five layers of security provided by Microsoft Azure, including threat protection, network security, authentication, authorization, and data protection.

  6. Configuration and Optimization: Exploring the configuration settings and common tasks within Azure Synapse Analytics, including backup and restore operations, price optimization, workload management, monitoring tools, and support options.

  7. Data Warehouse Crash Course: Establishing foundational knowledge on what a Data Warehouse is, its purpose, and the concepts of dimensional modeling, facts, dimensions, and different schema types like star schema and snowflake schema.

  8. Practical Application: Including hands-on labs and real-world scenarios to help students apply their knowledge and gain practical experience.

The feedback from past students indicates that this course is well-received for its thorough explanations, attention to detail, and helpful labs. It's designed to be beneficial for both beginners and those looking to deepen their understanding of Azure SQL Data Warehouse.

Topics such as Microsoft SQL Server, Azure SQL Database, Azure SQL Data Warehouse, Data Factory, Data Lake, Azure Storage, Azure Synapse Analytics Service, PolyBase, Azure monitoring, Azure Security, Data Warehouse concepts, and SSIS are all touchpoints in this course.

Overall, this course aims to provide a comprehensive learning experience that covers both theoretical and practical aspects of working with Azure SQL Data Warehouse. It's clear that the course is structured to ensure that students not only understand the technology but also how to apply it effectively in real-world scenarios.

Course Gallery

Azure SQL Data Warehouse Synapse Analytics Service – Screenshot 1
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2891890
udemy ID
20/03/2020
course created date
04/04/2020
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