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via Udemy |
Go to Course: https://www.udemy.com/course/azure-data-factory-interview-preparation-with-scenarios/
Certainly! Here's a comprehensive review and recommendation for the Coursera course on Azure Data Factory: --- **Course Review: Mastering Azure Data Factory with Real-Time Scenarios** If you're looking to deepen your understanding of Azure Data Factory (ADF) and want hands-on experience tackling real-world data integration challenges, this course is an excellent choice. Designed to cover both foundational and intermediate concepts, it prepares you for practical implementation and interview scenarios. **Course Content & Key Features:** This course offers a robust curriculum, focusing on applying ADF to solve real-time data migration, transformation, and orchestration tasks. Some noteworthy scenarios include: - Copying files between different Azure Data Lake Storage Gen2 containers, with filter and pattern-matching techniques. - Extracting data from Azure SQL Database and on-premise SQL Server, transforming it, and loading it into Azure Data Lake or Azure SQL databases. - Handling operations like merging multiple files into single or multiple tables, flattening nested JSON files, and performing complex data transformations. - Implementing advanced workflows such as fault-tolerant data copying, handling JSON and CSV formats, and applying parameterization for dynamic pipelines. - Implementing Slowly Changing Dimensions (Types 1 and 2), which are crucial for data warehousing. **Strengths:** - **Practical Approach:** The course emphasizes real-world scenarios, aligning well with interview questions and practical projects. - **Comprehensive Coverage:** From basic copy activities to advanced data transformations, the curriculum covers diverse use cases. - **Hands-On Practice:** Encourages practicing on Azure (with free accounts available for a month), allowing learners to implement what they learn immediately. - **Preparation for Interviews:** The scenario-based questions help build confidence and demonstrate your proficiency in Azure Data Factory during interviews. **Who Should Enroll:** - Data Engineers and Data Analysts seeking to enhance their ETL and data pipeline skills. - Cloud professionals aiming to specialize in Azure data services. - Anyone preparing for roles involving data migration, transformation, or cloud data orchestration. **Recommendation:** I highly recommend this course for anyone serious about mastering Azure Data Factory. Its emphasis on real-time scenarios makes it particularly valuable for practical application and interview preparation. Be proactive in setting up your Azure account and practicing along to maximize learning. **Final Tips:** - Take advantage of the free Azure account for hands-on labs. - Review each scenario thoroughly and attempt variations for deeper understanding. - Use the provided sample tasks to build your portfolio and showcase your skills. --- Embark on this course to gain a comprehensive, practical understanding of Azure Data Factory. It will undoubtedly equip you with the skills needed to manage complex data workflows and excel in data engineering roles.
Learn Azure Data Factory with real time scenarios, some of the sample scenarios mentioned below.I had covered the basics and Intermediate level , real time scenario based questions asked in interviews.It has covered the below scenarios and many more.1 Copy All the available files from the landing container to the sink container in the same Azure Datalake storage Gen2 accounts2 Copy all the tables available from Azure SQL database to Azure data lake storage container environment in csv format with data3 Copy only selected files from the container to another container - use of filter activity.4 Multiple Filter Activity scenarios.5 Copy data from the ADLS container into the snowflake table6 Onpremise SQL Server to ADLS data migration7 Onpremise SQL Server to Azure SQL Data Migration8 Azure SQL to ADLS Container -- tables migration with required columns only9 Migrate required tables and required columns from on premise sql server to azure sql tables 10 Migrate data from the ADLS containers all the files into a single table on azure sql side.11 Migrate data from the ADLS containers all the files into a multiple tables as per the file on azure sql side.12 BLOB CONTAINER SERVERAL FILES COPY ONE FILE FROM THAT CONTAINER TO THE ADLS GEN2 CONTAINER13 MOVE ALL THE CSV FILES FROM THE BLOB CONTAINER TO THE ADLS GEN2 CONTAINER14 BEFORE.JSON , IT SHOULD BE HAVING A FIVE CHARACTERS AS FILENAME , I WANT TO COPY THAT FILES ONLY15 All files starting with Em (Any format) copy all the files from the input container to the output container16 COPY ONLY REQUIRED FILES - PATTERN MATCHING SCENARIO17 COPY BEHAVIOR - FLATTEN - MERGE AND PRESERVE Hierarchy SCENARIO18 Fault tolerance_LOG_ERROR_INFO_COPY_DATA_ACTIVITY19 How to perform merge operation in ADF20 Load_Nested_JSON_AS_CSV_File21 How Precedent constraints works22 Parameterization in ADF23 Implementation of Slowly Changing Dimension TYPE-1--MUCH NEEDED24 Implementation of Slowly Changing Dimension TYPE-2_VERY_IMPORTANT_SCENARIOand many more.Preparing for these questions and scenarios will help you demonstrate your knowledge and practical skills in Azure Data Factory. I suggest to create Azure account which is free for one month and do practice along with me and let me know if you have any doubt while performing this tasks.