Title
DP-203: Data Engineer Associate Certification Preparation
Pass Azure DP-203: Learn Azure SQL Database, CosmosDB, Data warehouse, Data Lake, Data Factory, Data Bricks in 11 hours

What you will learn
You Will Master Azure Data Factory
How To Create Data Flows And Control Flows In Azure Data Factory
How To Use Parameters and Variables In Azure Data Factory
How To Implement Different Data Storage Solutions In Azure
implement a solution that uses Data Lake Storage Gen2
How To Create Azure SQL Databases
How To Configure Azure Data Bricks( A Service To Perform Big Data Analysis Using Azure Cloud)
How To Access Azure Data Lake From Azure DataBricks (With Python Code)
How To Connect To Azure SQL Data Base From On premise Using SSMS
How To Execute Query Against Azure SQL Data Base Using Azure Query Editor
How Migrate Data Base From On Premise To Azure Using SSMS
How To Move Data To Azure Data Lake From On-premise Using Storage Explore
How To Access On premise Environment Using Self Hosted Integration Run time From ADF
How To Create Data Set and Connections In ADF (Azure Data Factory)
How To Create Pipeline In Azure Data Factory (ADF)
How To Implement a solution that uses Azure Blob storage
Implement Storage Systems With High Availability, Disaster Recovery, And Global Distribution With Geo Replications
How To Create Elastic Pool And Deploy Multiple Data Bases In single Server
Provide Access To Data To Meet Security Requirements
How To Create Azure SQL Data Warehouse (Azure Synapse Analytics)
configure elastic pools, configure geo-replication, implement PolyBase
Learn to use PolyBase external tables to load data from Azure Data Lake Storage
Create database objects required to load from Data Lake Storage
Connect to a Data Lake Storage directory (With Credential and secret)
implement Copy Activity within Azure Data Factory, create linked services and datasets
Develop batch processing solutions using Data Factory and Azure Databricks
Create pipelines and activities, implement Mapping Data Flows in Azure Data Factory
Learn to implement Azure Databricks clusters creations
Learn to ingest data into Azure Databricks
Learn to implement Azure Databricks notebooks, jobs, and autoscaling,
Why take this course?
本课程将带你深入了解Azure中的数据存储和处理服务,包括但不限于以下几个关键组成部分:
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Azure SQL Elastic Pool:
- 学习如何配置SQL弹性池以管理和规模多个数据库的资源。
- 了解弹性池的工作原理,包括如何在单个Azure SQL数据库服务器上共享资源。
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Active Geo-Replication:
- 配置Azure SQL数据库的地理复制,创建可读的次要数据库实例。
- 学习如何在出现故障时手动触发 failover。
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Azure Cosmos DB:
- 创建Azure Cosmos DB账户并设置容器。
- 了解Cosmos DB的多模型功能和全球分布式架构。
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Azure Data Factory:
- 创建数据工厂实例,并构建数据流程以移动和转换数据。
- 使用Data Factory的各种连接器和活动来执行复杂的数据处理任务。
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On-premise SQL Server Migration:
- 迁移本地SQL Server到Azure SQL数据库的步骤和最佳实践。
- 了解使用Azure Data Migration Service (DMS)和其他工具进行迁移的方法。
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Azure DataBricks:
- 创建并配置DataBricks工作区以处理大规模数据集。
- 在Python或Scala notebook中编写代码以读取和处理数据。
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Azure Data Lake:
- 使用PolyBase等技术将数据加载到Azure SQL数据库存储过程中。
- 学习如何从Data Lake中管理和访问大量数据,并将其转换为有用的格式。
-
Azure Data Warehouse:
- 创建和配置Azure SQL数据仓库实例。
- 使用T-SQL语句查询数据仓储中的数据,包括通过PolyBase的外部表进行数据加载。
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Demo演示:
- 实际操作演示,包括但不限于:
- 在Azure Data Factory中创建管道和触发器。
- 使用Data Factory将数据从Blob存储到SQL数据库(或反向)。
- 利用DataBricks读取Data Lake中的数据,并执行数据处理任务。
- 在Data Factory中使用循环和条件逻辑来控制数据流程的动态执行。
- 将数据加载到SQL数据仓库,并利用PolyBase进行数据访问和处理。
- 实际操作演示,包括但不限于:
以上内容构成了一个全面的课程框架,旨在帮助你掌握Azure平台上的数据存储、数据迁移和数据处理技术。通过实际操作演示,你将能够将所学知识应用到实际工作场景中,无论是在云环境内还是与本地系统集成。
Screenshots




Our review
👓 Course Overview:
The global rating for this Azure Data Factory course is a commendable 3.65, with recent reviews indicating a generally positive reception of the course content. However, there are several key areas for improvement, particularly concerning the presentation and audio quality.
Pros:
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Rich Content: The course is comprehensive and covers multiple practical activities related to Azure Data Factory. It provides a solid foundation for understanding various data processing techniques.
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Informative: In terms of content, it is deemed informative and educational, covering the necessary topics that are crucial for those preparing for DP200 certification.
Cons:
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Audio Quality: A significant concern raised by multiple reviewers is the poor audio quality, which is not attributable to individual hardware issues. This affects learners' understanding of the content, especially those with English as a second language.
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Accent and Pronunciation: The instructor has a heavy accent in English, making it challenging to comprehend the material at times. This issue exacerbates the already poor audio quality.
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Lack of Theory: Some users have pointed out that while practical activities are well-covered, there is a need for more theoretical background to complement these activities, particularly for better understanding and preparation for the DP200 exam.
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Detail in Options Explanation: The course does not provide detailed explanations of the options available, such as different versions of storage or the use cases for choosing Cosmos DB over other data solutions.
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No Closed Captions: A notable absence is the lack of closed captions (CC) in videos, which would greatly assist learners who do not speak English fluently.
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Demos and Multimedia Content: While multiple demos are present, some users reported that a few videos are cropped off, potentially hindering the visual understanding of certain processes.
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Content Redundancy: There is some repetition within the course content that could be streamlined for efficiency and better learner experience.
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Accessibility Concerns: The absence of subtitles and closed captions is a significant accessibility issue, impacting those with hearing difficulties or those who prefer reading along with videos.
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Sound Issues: The sound in the videos is not clear, often overshadowed by the music at the beginning and end of the videos, which can be disruptive at higher volumes.
Recommendations for Improvement:
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Enhance Audio Quality: Improve the recording quality to ensure clarity and comprehensibility of the instructor's voice.
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Add Theoretical Background: Incorporate more theory into the course, especially where practical activities are covered, to provide a fuller understanding of the subject matter.
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Include Closed Captions and Transcripts: Provide closed captions and transcripts for all video content to aid comprehension among non-native English speakers and those with hearing impairments.
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Edit Content for Redundancy: Review and edit the course content to eliminate any repetitive sections and ensure that each topic is covered concisely and effectively.
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Improve Video Quality: Ensure all video demonstrations are in full view and that the audio is clear and audible, even at lower volumes.
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Add NoSQL Content: As suggested by some users, including content on NoSQL databases would be beneficial for learners preparing for DP200 certification.
By addressing these concerns and implementing the recommended improvements, this course has the potential to provide an exceptional learning experience that is both comprehensive and accessible to a wider audience.
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Submit by | Date | Coupon Code | Discount | Emitted/Used | Status |
---|---|---|---|---|---|
- | 28/06/2023 | OFFER-2023-A | 83% OFF | expired |