Mastering Azure Data Factory: From Basics to Advanced Level
Mastering Azure Data Factory: From Basics to Advanced Level, available at $74.99, has an average rating of 4.22, with 73 lectures, 3 quizzes, based on 1934 reviews, and has 22924 subscribers.
You will learn about Students will learn how to use Azure Data Factory, to compose data storage, movement, and processing services into automated data pipelines. All the topics related to Azure Data Factory in DP 203 certification are covered in this course. Real World Use Cases 100% Hands on Practical Lab Sessions This course is ideal for individuals who are Data Engineers, Data Architect, ETL developer, Data Integration Engineers It is particularly useful for Data Engineers, Data Architect, ETL developer, Data Integration Engineers.
Enroll now: Mastering Azure Data Factory: From Basics to Advanced Level
Summary
Title: Mastering Azure Data Factory: From Basics to Advanced Level
Price: $74.99
Average Rating: 4.22
Number of Lectures: 73
Number of Quizzes: 3
Number of Published Lectures: 36
Number of Published Quizzes: 2
Number of Curriculum Items: 79
Number of Published Curriculum Objects: 41
Original Price: ₹1,199
Quality Status: approved
Status: Live
What You Will Learn
- Students will learn how to use Azure Data Factory, to compose data storage, movement, and processing services into automated data pipelines.
- All the topics related to Azure Data Factory in DP 203 certification are covered in this course.
- Real World Use Cases
- 100% Hands on Practical Lab Sessions
Who Should Attend
- Data Engineers, Data Architect, ETL developer, Data Integration Engineers
Target Audiences
- Data Engineers, Data Architect, ETL developer, Data Integration Engineers
Unlock the full potential of Azure Data Factory with our comprehensive course, “Mastering Azure Data Factory: From Basics to Advanced Level.”
Designed for data professionals and enthusiasts seeking a deep dive into the world of data engineering, this extensive program offers over 10 hours of in-depth content, packed with practical hands-on lab sessions and real-world examples.
Azure Data Factory is at the forefront of modern data engineering, empowering organizations to orchestrate complex data workflows seamlessly. In this course, we take you on a journey from the fundamentals to advanced techniques, equipping you with the skills needed to tackle any data integration or transformation challenge.
Our curriculum is carefully crafted to provide a holistic understanding of Azure Data Factory’s capabilities. From basic concepts such as data movement and transformation to advanced topics like parameterization and monitoring, you’ll explore every aspect of the platform in detail. Each module is accompanied by hands-on lab sessions, allowing you to apply theoretical knowledge to practical scenarios and cement your understanding through experiential learning.
But we don’t stop there. Real-world examples and case studies are interspersed throughout the course, providing you with valuable insights into industry best practices and real-life applications of Azure Data Factory. Whether you’re a beginner looking to build a strong foundation or an experienced practitioner aiming to enhance your skills, this course caters to learners of all levels.
Our expert instructors bring years of industry experience to the table, ensuring that you receive top-notch guidance and mentorship throughout your learning journey. With their support, you’ll tackle complex challenges head-on, gaining the confidence and expertise needed to excel in the field of data engineering.
Upon completion of the course, you’ll emerge as a master of Azure Data Factory, equipped with the knowledge, skills, and practical experience to architect, deploy, and manage data pipelines with ease. Whether you’re driving organizational transformation or pursuing personal growth, “Mastering Azure Data Factory” is your gateway to success in the dynamic world of data engineering. Enroll now and embark on your journey to mastery!
Course Curriculum
Chapter 1: Cloud Computing Basics
Lecture 1: Fundamentals of Cloud Computing
Lecture 2: Create FREE Azure Account
Chapter 2: Introduction to Azure data Factory
Lecture 1: What is Azure Data Factory?
Lecture 2: Create Azure Data Factory service
Chapter 3: Building Blocks of Data Factory
Lecture 1: Building Blocks of Data Factory
Chapter 4: Copy Data Activity
Lecture 1: Copy Data Activity – Scenario 1
Lecture 2: Copy Data Activity – Scenario 2
Chapter 5: Control Flow Activities
Lecture 1: Lookup Activity
Lecture 2: Get Metadata Activity
Lecture 3: Filter Activity
Lecture 4: For Each Loop
Lecture 5: If else condition
Lecture 6: Execute Pipeline activity
Chapter 6: Data Flow Transformation
Lecture 1: Dataflow Overview
Lecture 2: Source component
Lecture 3: Join transformation
Lecture 4: Select & Sort Transformation
Lecture 5: Exists Transformation
Lecture 6: Derived Column Transformation
Lecture 7: Filter Transformation
Lecture 8: Aggregate Transformation
Lecture 9: Conditional Split Transformation
Lecture 10: New Branch Transformation
Lecture 11: Sink & Alter Row Transformation
Chapter 7: Parameterize
Lecture 1: Parameterize Linked Service, DataSets, Pipeline
Chapter 8: Monitor
Lecture 1: Monitor Visually
Lecture 2: Azure Monitor
Chapter 9: Real World Practical Use Cases
Lecture 1: Theory: Incremental Data Load
Lecture 2: Lab: Incremental Data Load
Lecture 3: Artifacts for Tables used in the Lab session
Lecture 4: Slowly Changing Dimension Type I (Concepts)
Lecture 5: Lab: Slowly Changing Dimension Type 1
Lecture 6: Artifacts for Tables used in the Lab session of SCD Type 1
Lecture 7: Slowly Changing Dimension Type 2 (Concepts)
Lecture 8: Artifacts for Tables used in the Lab Session of SCD Type II
Lecture 9: Lab: Slowly Changing Dimension Type 2
Instructors
-
Amit Navgire
Data Architect
Rating Distribution
- 1 stars: 26 votes
- 2 stars: 55 votes
- 3 stars: 300 votes
- 4 stars: 765 votes
- 5 stars: 788 votes
Frequently Asked Questions
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