Essential SQL: Azure Data Factory and Data Engineering

Azure Data Factory | Data Engineering using ADF | Data Mapping Flows | SQL Stored Procedure | Data Engineering

4.58 (30 reviews)
Udemy
platform
English
language
Other
category
instructor
Essential SQL:  Azure Data Factory and Data Engineering
233
students
8.5 hours
content
Feb 2024
last update
$84.99
regular price

What you will learn

Learn how to construct ELT solutions using Azure Data Factory and SQL Server.

Implement various ELT solutions using Mapping Data Flows, Copy Activities, and Stored Procedures.

Develop the skills to build and troubleshoot Azure Data Factory pipelines with confidence.

Enhance pipeline reliability by mastering the use of parameters to optimize your data workflows.

Learn efficient methods for storing and structuring data using Azure Storage services.

Understand the distinctive roles played by Azure Data Factory, Data Storage, SQL Server, and Data Bricks in the creation of an ELT solution.

Why take this course?

๐Ÿš€ **Essential SQL: Azure Data Factory and Data Engineering with Kris Wenzel** ๐Ÿ“š --- ### **Course Headline:** Master the Art of Data Engineering using **Azure Data Factory (ADF)**! Dive into the world of **Data Mapping Flows**, harness the power of **SQL Stored Procedures**, and orchestrate your data with finesse. ๐Ÿ› ๏ธ๐Ÿ’ป --- **Course Description:** Unlock the potential of Azure Data Factory to streamline your data engineering tasks with this comprehensive online course. Perfect for both novices and seasoned professionals, this course serves as an ideal introduction to the robust capabilities of ADF from a data engineer's perspective. **Why Take This Course?** - **Hands-On Learning:** Engage in practical examples as you create an ETL (Extract, Transform, Load) process to manage movie rating data, providing real-world context and application. ๐Ÿ“ˆ - **Versatile Transformation Techniques:** - **Azure Data Mapping Flows:** Embrace the simplicity of no-code ETL solutions within Azure. - **Python Integration:** For those who prefer programming, learn how to achieve the same transformations using Python scripts. ๐Ÿ - **SQL Mastery:** Utilize your SQL skills and stored procedures to craft sophisticated pipelines that cater to complex data needs. **Course Highlights:** - **Explore Three Transformation Methods:** Discover various approaches to ingest, transform, and store data, and understand when and how to use each one effectively. - **Cross-Skill Learning:** If you're a SQL guru but new to Python, start with the familiar SQL methods before experimenting with Python or Azure Data Mapping Flows. This course is designed for learning multiple methods, enhancing your data engineering skillset. ๐Ÿค - **Flexible Learning Path:** No matter your starting point, this course will guide you through the steps to become proficient in using ADF for all your data engineering needs. **What You'll Learn:** - **Azure Data Factory Overview:** Get a comprehensive understanding of its architecture and components. - **Designing Data Pipelines:** Learn how to design and implement pipelines that can handle various data tasks. - **Data Transformation Techniques:** Understand the nuances of transforming data using Azure Data Mapping, Python, and SQL Stored Procedures. - **Practical Implementation:** Apply your knowledge by creating your own ETL process with movie rating data. - **Best Practices:** Gain insights into efficient data management within Azure Data Factory. **Who Should Take This Course?** - Data Engineers looking to leverage ADF for their projects. - Developers interested in expanding their skills with Azure services. - SQL programmers aiming to integrate their expertise with cloud-based data solutions. - Anyone curious about learning different methods of ETL within a cloud environment. ๐ŸŒฅ๏ธ --- Embark on your journey to becoming an Azure Data Factory wizard today! With **Kris Wenzel** as your guide, you'll navigate through the complexities of data engineering and emerge with a comprehensive skill set that will set you apart in the field. ๐ŸŽ“โœจ

Reviews

Matheus
January 30, 2024
I really enjoyed the course, specially when Kris got some debugging he didnt edit out, he walk us through the debugging and that is valuable, i really appreciate that. Finally, i would like to encorage Kris to keep it up with the content regarding data engineering and Azure, looking forward to new courses in that matter. Thank you Kris :)
Olga
January 3, 2024
Invaluable for Data Engineers eager to master a new tool. The language used is refreshingly clear (OMG! a rarity!), providing thorough explanations for each step. Upon completing this course, I felt exceptionally well-acquainted with ADF, and it has proven immensely beneficial. Many thanks for your guidance!
Damiete
December 21, 2023
Kris provides the "we'll learn it together" atmosphere in his teaching style, which allows you to effectively learn more as you work through the course and that fosters well grounded knowledge on the subject. Also he is responsive in anwsering your questions.
Tugrul
December 6, 2023
This course is great and I so excited. The course covered only the basic and not advance topic. But for beginner on ADF is absolutely fine. Maybe the Instructor extended in future more topics on the course. What I missed in advance topic is trigger (different type of trigger) more deep in parquet file, why and what is the advantage to compare with json file. More settings as like cache, drift types and partitions. I hope this will been sooner come into as extent. I can recommendation this course for ADF enthusiasts

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5499142
udemy ID
8/13/2023
course created date
11/16/2023
course indexed date
kokku
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