Azure Data Factory : Implement SCD Type 1 from Coursera

In this project, you will learn how to implement one of the most common concept in real world projects i.e. Slowly Changing Dimension Type 1, using Azure Data Factory.

Pre-requisites:

Azure subscription

Azure Data Factory knowledge (Basic)

Following are the tasks covered in this project:

Task 1: Understand Slowly Changing Dimension (SCD) Type 1

In this task, we will try to understand the concept of Slowly Changing Dimension and its different types, but will focus on Type 1 using a simple example.

Task 2: Create Azure services like Azure Data Factory, Azure SQL Database

In this task, we are going to create the azure services like azure data factory and azure sql database which are going to be used in later tasks. Azure sql database is going to contain the staging and dimension table whereas azure data factory is going to be used to create the data pipeline

Task 3: Create Staging and Dimension Table in Azure SQL Database

In this task, we will create the staging and dimension table in azure sql database. Also, we will insert some dummy records in staging table

Task 4: Create a ADF pipeline to implement SCD Type 1 (Insert Logic)

In this task, we are going to create the pipeline in azure data factory and implement the logic to insert new records which exists in staging table but doesnt exist in dimension. This is one scenario/use case of SCD Type 1.

Task 5: Create a ADF pipeline to implement SCD Type 1 (Update Logic)

In this task, we are going to create the pipeline in azure data factory and implement the logic to update records which exists in staging table as well as in dimension. This is another use case/scenario of SCD Type 1

Task 6: Demo of ADF pipeline

This is final task in which we will run the pipeline to see whether it satisfies both the use case/scenario of SCD Type 1

All the Best !!

What's inside

Syllabus

Project Overview

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Good to know

Know what's good

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, and possible dealbreakers

Examines Slowly Changing Dimension (SCD) Type 1, which is a core concept in data management and data warehousing

Meant for learners with basic knowledge of Azure Data Factory

Involves the creation of both staging and dimension tables in Azure SQL Database

Demonstrates how to implement both insert and update logic for SCD Type 1 in Azure Data Factory

Provides hands-on experience in implementing SCD Type 1 using Azure Data Factory

Reviews summary

Azure data factory type 1 scd implementation

According to students, this course on Azure Data Factory: Implementing SCD Type 1 is well received. Learners say that the video demonstrations and content delivery are excellent. One learner found the quizzes to be simple and wanted to see more complex examples added. Overall, this course features easy-to-follow content and provides learners with the necessary skills for data integration.

The video demonstrations are clear and helpful.

"Excellent example of doing a Data Flow in Data Factory"

The content is well-structured and easy to follow.

"explained very well and easy to flow "

"Excellent example of doing a Data Flow in Data Factory"

The course examples could be more complex.

"also the project can be demonstrated with a better and bigger example, only 1 row is not enough for demo."

The quizzes are basic and could be improved.

"Some scope of betterment can be in the level of quizzes, which is just True and False."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Azure Data Factory : Implement SCD Type 1 with these activities:

Review SQL basics

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Revising the basics of SQL will ensure that you have a firm grasp of the fundamentals before exploring Slowly Changing Dimensions.

Browse courses on SQL

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Re-read your SQL notes or textbooks.
Take an online SQL quiz or practice test.

Watch tutorial about Slow Changing Dimensions (SCD)

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Watching a guided tutorial on SCD will provide a solid introduction to the concept and its various types, including Type 1. This will help you better understand the implementation process in Azure Data Factory.

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Search for tutorials on Slowly Changing Dimensions (SCD)
Choose a tutorial that covers SCD Type 1
Watch the tutorial and take notes on key concepts

Follow a tutorial on Azure Data Factory

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To effectively implement SCD, a thorough understanding of Azure Data Factory is crucial. This tutorial will provide you with a solid foundation.

Browse courses on Azure Data Factory

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Find a reputable tutorial or course on Azure Data Factory.
Set aside dedicated time to complete the tutorial.
Take notes and ask questions to enhance your understanding.

Nine other activities

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Practice creating staging and dimension tables in Azure SQL Database

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Creating the staging and dimension tables in Azure SQL Database is a crucial step in the SCD Type 1 implementation process. This activity will provide hands-on practice and reinforce your understanding of the table structures and data relationships.

Browse courses on Azure SQL Database

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Create an Azure SQL Database
Create a staging table with appropriate columns for SCD Type 1
Create a dimension table with appropriate columns for SCD Type 1
Insert dummy records into the staging table

Follow Azure Data Factory (ADF) Tutorials

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Enhance your practical skills by following guided tutorials that provide step-by-step instructions on how to use Azure Data Factory to solve common data integration and transformation tasks.

Browse courses on Azure Data Factory

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Find relevant ADF tutorials
Follow the instructions carefully
Complete the exercises and examples

Join an Azure Data Factory (ADF) Study Group

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Enhance your learning through peer collaboration by joining a study group focused on Azure Data Factory. Engage in discussions, share knowledge, and work together to solve challenges.

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Find or create an ADF study group
Participate in regular meetings
Contribute to discussions
Collaborate on projects

Design an Azure Data Factory pipeline diagram

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Creating a visual representation of the data pipeline will help you visualize and understand the flow of data and the implementation of SCD Type 1.

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Identify the components and processes involved in the pipeline.
Use a diagramming tool or software to create a visual representation.
Review your diagram with a peer or instructor to gather feedback.

Practice Azure Data Factory (ADF) Basics

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Reinforce your understanding of the basic concepts, tools, and techniques of Azure Data Factory by completing practice drills and exercises.

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Review ADF documentation and tutorials
Create an ADF pipeline and data flow
Use ADF to transform and load data
Monitor and troubleshoot ADF pipelines

Insert and update data using Azure Data Factory

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Hands-on practice with Azure Data Factory will solidify your understanding of SCD Type 1 implementation and provide valuable experience.

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Set up an Azure Data Factory instance.
Create a staging table and a dimension table.
Build a data pipeline to insert and update data.
Test your pipeline and analyze the results.

Develop an ADF pipeline to implement SCD Type 1 insert logic

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Creating an ADF pipeline for SCD Type 1 insert logic is a central task in this project. This activity will challenge you to apply your knowledge of ADF and data integration to implement a real-world data management scenario.

Browse courses on Azure Data Factory

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Create an ADF pipeline
Add a data source for the staging table
Add a data sink for the dimension table
Write code to implement the SCD Type 1 insert logic
Deploy and test the pipeline

Build an ADF Pipeline to Implement SCD Type 1

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Apply your knowledge by creating a real-world Azure Data Factory pipeline that implements Slowly Changing Dimension Type 1. This hands-on project will solidify your understanding of SCD concepts and their practical implementation.

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Design the SCD Type 1 implementation
Create the necessary Azure resources
Develop the ADF pipeline
Test and deploy the pipeline

Answer questions on an Azure Data Factory forum

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Engaging with others and sharing your knowledge will reinforce your understanding of SCD Type 1 and Azure Data Factory.

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Find a relevant forum or online community.
Identify a question related to SCD Type 1 or Azure Data Factory.
Write a well-informed and helpful response.

Career center

Learners who complete Azure Data Factory : Implement SCD Type 1 will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers design and implement data management solutions, utilizing their expertise in data architecture, data integration, and data quality. This course on Azure Data Factory, a cloud-based data integration service, provides a strong foundation for aspiring Data Engineers. By learning how to implement Slowly Changing Dimension Type 1, a common technique for managing changes in data over time, individuals can enhance their data management skills and increase their competitiveness in the job market.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to extract valuable insights. This course on Azure Data Factory aligns with the responsibilities of a Data Analyst, as it teaches how to create and manage data pipelines, transform data, and implement data integration techniques. The focus on Slowly Changing Dimension Type 1 provides a practical understanding of how to handle changing data, a common challenge in data analysis.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators ensure the smooth functioning and maintenance of databases. This course on Azure Data Factory can benefit Database Administrators by providing knowledge of cloud-based data integration and data management. Understanding how to implement Slowly Changing Dimension Type 1 can help them effectively manage data changes and maintain data integrity, critical aspects of database administration.

See salaries and explore the career path for Database Administrator

Data Scientist

Data Scientists use data to build predictive models and solve complex business problems. This course on Azure Data Factory may be useful for aspiring Data Scientists, as it provides a foundation in data integration and data management. The emphasis on Slowly Changing Dimension Type 1 can help them understand how to handle changing data, a common challenge in data science projects.

See salaries and explore the career path for Data Scientist

Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends and patterns, and provide insights to support decision-making. This course on Azure Data Factory can supplement the skills of Business Intelligence Analysts by teaching them how to integrate and manage data effectively. The focus on Slowly Changing Dimension Type 1 provides a practical understanding of how to handle changing data, a common challenge in business intelligence.

See salaries and explore the career path for Business Intelligence Analyst

Cloud Engineer

Cloud Engineers design, build, and manage cloud computing systems. This course on Azure Data Factory can benefit Cloud Engineers by providing knowledge of a cloud-based data integration service. The emphasis on Slowly Changing Dimension Type 1 can help them understand how to effectively manage data changes in cloud environments.

See salaries and explore the career path for Cloud Engineer

Data Warehouse Engineer

Data Warehouse Engineers design and manage data warehouses, which store large volumes of data for analysis. This course on Azure Data Factory can be beneficial for Data Warehouse Engineers, as it provides knowledge of cloud-based data integration and data management. The focus on Slowly Changing Dimension Type 1 can help them understand how to effectively manage changing data in data warehouses.

See salaries and explore the career path for Data Warehouse Engineer

Data Integration Architect

Data Integration Architects design and implement data integration solutions. This course on Azure Data Factory aligns with their responsibilities, as it provides a deep understanding of data integration techniques and technologies. The focus on Slowly Changing Dimension Type 1 provides practical knowledge of how to handle changing data, a critical aspect of data integration architecture.

See salaries and explore the career path for Data Integration Architect

Data Management Consultant

Data Management Consultants help organizations improve their data management practices. This course on Azure Data Factory can enhance their knowledge of cloud-based data integration and data management. The focus on Slowly Changing Dimension Type 1 provides a practical understanding of how to handle changing data, a common challenge in data management consulting.

See salaries and explore the career path for Data Management Consultant

Software Engineer

Software Engineers design, develop, and maintain software applications. This course on Azure Data Factory may be useful for Software Engineers who work with data-intensive applications. The emphasis on Slowly Changing Dimension Type 1 can provide them with a practical understanding of how to manage changing data in software systems.

See salaries and explore the career path for Software Engineer

Database Developer

Database Developers design and develop database systems. This course on Azure Data Factory may be useful for Database Developers who work with data integration and data management tasks. The focus on Slowly Changing Dimension Type 1 can provide them with a practical understanding of how to handle changing data in database systems.

See salaries and explore the career path for Database Developer

Data Governance Specialist

Data Governance Specialists develop and implement data governance policies and procedures. This course on Azure Data Factory may be useful for Data Governance Specialists, as it provides a foundation in data integration and data management. The focus on Slowly Changing Dimension Type 1 can help them understand how to effectively manage changing data in data governance initiatives.

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Information Architect

Information Architects design and manage information systems. This course on Azure Data Factory can supplement their knowledge of data integration and data management. The focus on Slowly Changing Dimension Type 1 provides a practical understanding of how to handle changing data, a common challenge in information architecture.

See salaries and explore the career path for Information Architect

Data Architect

Data Architects design and implement data architectures. This course on Azure Data Factory may be useful for Data Architects, as it provides a foundation in data integration and data management. The focus on Slowly Changing Dimension Type 1 can help them understand how to effectively manage changing data in data architectures.

See salaries and explore the career path for Data Architect

Data Quality Analyst

Data Quality Analysts ensure the quality and accuracy of data. This course on Azure Data Factory may be useful for Data Quality Analysts, as it provides a foundation in data integration and data management. The focus on Slowly Changing Dimension Type 1 can help them understand how to effectively manage changing data in data quality initiatives.

See salaries and explore the career path for Data Quality Analyst