Udemy – DP-203 – Data Engineering on Microsoft Azure
English | Tutorial | Size: 8.14 GB
Preparation for DP-203 Data Engineering on Microsoft Azure exam
Release v3.0 – May 2024
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Release v2.0 – May 2023
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Additional questions have been also added to the Practice Tests.
Release v1.0 Initial Release
This course is designed for students who want to attain the “Microsoft Certified: Azure Data Engineer Associate” certification
This course has contents for the Exam DP-203
The objectives covered in this course are
Design and implement data storage (40-45%)
Design and develop data processing (25-30%)
Design and implement data security (10-15%)
Monitor and optimize data storage and data processing (10-15%)
In this course students will learn about the various Azure services that pertain to Data Engineering. Few of the important aspects that students will learn along the way includes the following
What is the purpose of an Azure Data Lake Gen 2 storage account
Basics on Transact-SQL commands
How to work with Azure Synapse. This will include building a data warehouse into a dedicated SQL Pool.
How to build an ETL pipeline with the help of Azure Data Factory. There will be various scenarios on how to create mapping data flows.
How to stream data with the use of Azure Stream Analytics. You can see how SQL commands can be used for your streaming data.
Basics on the Scala programming language, and SPARK
How to work with SPARK, Scala in Azure Databricks. We will see how to work with Notebooks. We will also see how to stream data into Azure Databricks.
The different security measures and monitoring aspects to consider when working with Azure services
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