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Azure Data Factory Training–Continuous Integration/Delivery

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Azure Data Factory Training–Continuous Integration/Delivery

DP-203|DP-200|DP-201Exam Courses: Learn Azure Data Factory from scratch with hands-on exercises &become a data engineer

• How To Create Pipelines In Azure Data Factory.
• How To Integrate Azure Data Factory With Azure DevOps.
• How To Integrate Azure Data Factory With GitHub.
• Continuous Integration and Delivery (CI/CD) in Azure Data Factory.
• Learn To Use Pipelines and activities in Azure Data Factory.
• How To Create Data set & Linked services in Azure Data Factory.
• Transform Data With Mapping Data Flows.
• Prepare Data With Wrangling Data Flows.
• Learn To Use Different Data Flow activities in Azure Data Factory.
• Parameterizations Of Data set and pipelines.
• Triggers In Azure Data Factory.
• How to build Custom Email Notification In Azure Data Factory.
• Introduction to Cosmos DB.
• Introduction to Azure Synapse Analytics.
• Introduction To Azure SQL.
• Dynamic Data Masking in Azure SQL.
• Learning Materials For DP 203 Exam
• Introductions To Power BI

🌟 Azure Data Factory Training – Continuous Integration/Delivery (CI/CD) 🌟

Unlock the Power of Azure Data Factory!

🚀 Course Overview: Dive into the world of cloud-based data orchestration with our comprehensive Azure Data Factory Masterclass. This course is designed to take you from a beginner to an expert in managing and automating your data workflows, leveraging the full capabilities of Azure Data Factory. With hands-on exercises, you’ll learn to build, schedule, and monitor complex ETL (Extract, Transform, Load) processes that can handle vast amounts of data with ease.

🔍 What You’ll Learn:

• ✅ Create Free Azure Subscriptions – Get started without any initial investment.
• ❓ Understanding the Need for Azure Data Factory – Discover why Azure Data Factory is an essential tool in a data engineer’s toolkit.
• 🧪 Key Components Of Azure Data Factory – Familiarize yourself with the core elements that make up Azure Data Factory.
• 🛠️ Setting Up Azure Data Factory Instances – Learn step-by-step how to create and configure your first Azure Data Factory instance.
• 🗂️ Azure SQL Databases – Understand how to set up and manage databases, including inserting data with SQL Server Management Studio (SSMS).
• 📊 Blob Storage Account Setup – Get hands-on practice setting up a Blob Storage Account using the Azure portal.
• 🔗 Linked Services in Azure Data Factory – Learn how to integrate different data sources using linked services.
• 📊 Data Sets and Pipeline Design – Master the art of creating data sets and designing efficient pipelines.
• ⚙️ Activities Inside Azure Data Factory – Dive deep into the various activities available and how to use them effectively.
• 📫 Custom Email Notifications – Set up custom email notifications within your Azure Data Factory workflows (New Module Added in Nov 2020).
• ✏️ Data Transformation with Mapping and Wrangling Data Flow – Gain proficiency in transforming your data using both Mapping and Wrangling Data Flow techniques.
• 🔄 GitHub and DevOps Integrations – Explore integrations with GitHub and DevOps for version control and CI/CD practices.
• 🔒 Parameterization in Azure Data Factory – Learn how to parameterize your data sets and pipelines for greater flexibility and reusability.
• 🔄 Continuous Integration and Delivery (CI/CD) in Azure Data Factory – Understand the CI/CD pipeline within Azure Data Factory for efficient and reliable code management.
• ⏫ Incremental Loads – Master the technique of incremental loads to efficiently update data without processing the entire dataset each time.
• 🔄 Slowly Changing Dimension (SCD) Techniques – Learn how to handle changes in dimensions over time with SCD techniques (New Addition in Nov 2020).
• 🛠️ Azure Cosmos DB Integration – Get familiar with Azure Cosmos DB and its integration into your data processing workflows (Added in Dec 2020).
• 📊 Azure Synapse Analytics Utilization – Discover how to leverage Azure Synapse Analytics for advanced analytics capabilities.
• 🔒 Dynamic Data Masking – Learn about dynamic data masking and its role in enhancing security and compliance (Added in Dec 2020).
• 📊 Mastering Power BI – With the addition of Power BI modules, you’ll learn to create interactive dashboards and gain insights from your data. This new module was added in Oct 2021.
• 📚 Additional Learning Materials for DP 203 Exam Preparation – Get equipped with the necessary knowledge for passing the DP 203 exam, including additional learning materials (Added in Dec 2021).
• 🚀 Azure Mapping Data Flow New Module – Learn about the latest features and techniques in Azure Mapping Data Flow (New Module Added In Dec 2022).

🎉 Why Choose This Course?

• Expert-led instruction with real-world scenarios.
• Hands-on practice with exercises tailored to Azure Data Factory.
• Step-by-step guidance through the entire process of data orchestration.
• Latest updates and features covered in the curriculum.
• Preparation for certification exams (DP 203, etc.).

🎓 Who Should Take This Course?

• Data Engineers
• Developers working with data processing
• IT Professionals looking to expand their skill set
• Anyone aspiring to master Azure Data Factory and its capabilities

Embark on your journey to become a data expert today! 🚀💧

🌟 Global Course Rating: 4.34

Based on recent reviews, here is a comprehensive review of the “Azure Data Factory (ADF) – End-to-End Real-World Implementation” course:

Course Content and Structure

Pros:

• Practical Focus: The course is praised for its practical approach, providing a complete overview of common challenges faced by an Azure Data Factory developer. It is described as “a good course which has provided a complete overview of common challenges faced by an Azure Data Factory developer during a project.” (Review 6)
• Real-World Application: Many users have noted that the course content touches on topics that are relevant to real-world scenarios, making it highly applicable for practical use. (Review 8, 10)
• Comprehensive Coverage: The course covers a wide range of topics, including data factory and executing CI/CD pipelines, which is considered good content by users. (Review 12)
• Learning Opportunities: Users have indicated that the lab exercises provided are beneficial for practicing and learning, and that they have successfully performed these labs, indicating a good hands-on learning experience. (Review 14)

Cons:

• Audio Quality Issues: Several users have reported issues with audio quality in various videos, with some finding it difficult to comprehend due to a thick accent, muffled and poor sound quality, and background noise. (Reviews 7, 9, 11, 13, 15, 16, 20, 21)
• Redundancy: Some users have pointed out that certain sections of the course contain redundant content, suggesting that up to 30% of the course could be reduced by omitting these repetitive parts. (Review 3)
• Documentation and Accessibility: The lack of transcripts or clear visual aids has been mentioned as a concern for users with hearing impairments, making it harder to understand content without additional resources. (Reviews 17, 22)
• Video Quality and Editing: Users have suggested that some videos could be edited to remove waiting times for resource creation, and that the video ordering is not always logical. (Reviews 5, 6)
• CI/CD Steps Clarity: There are comments indicating a lack of clarity in explaining why certain DevOps steps are required and what is getting published where and for what reason, making it difficult to grasp the concepts. (Review 18)
• Background Music: Some users have found the inclusion of background music during videos to be distracting and detrimental to their ability to concentrate on the information being presented. (Review 23)
• Zip File Complexity: The zip file used in the course has been described as unnecessarily complicated with unneeded subfolders, which could be confusing for beginners. (Review 24)

Overall Assessment:

The course is generally well-received for its practical application and real-world focus, but there are significant concerns regarding audio quality, redundancy in content, and the presentation format that need to be addressed to enhance the learning experience. Despite these issues, many users have found value in the course and have reported increased confidence and understanding of Azure Data Factory as a result of taking it.

To improve the course, consider addressing the audio quality, streamlining content, providing transcripts or closed captions, and ensuring that all video materials are clear, concise, and free from unnecessary complexity. This will likely enhance user satisfaction and learning outcomes.

Created by Step2C Education