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Data Engineering Certification: Master Data with SQL& Azure
Rating: 4.5 out of 5(119 ratings)
605 students

Data Engineering Certification: Master Data with SQL& Azure

Master Modern Data Engineering with SQL Server, Azure Data Factory, Data Lake, and Real-World Projects
Last updated 7/2025
English

What you'll learn

  • Understand the fundamentals of databases, DBMS, and SQL commands
  • Create and manage databases using SQL Server
  • Perform CRUD operations with SQL
  • Set up and manage Azure Storage and Azure SQL Databases
  • Explore Azure Data Lake Gen2 and work with Azure Storage Explorer
  • Create and configure Azure Data Factory (ADF) pipelines
  • Work with Linked Services, Datasets, and Activities in ADF
  • Use key ADF features like Copy Activity, Wait, Lookup, Get Metadata, and Conditional Workflows
  • Implement parameters, variables, and For Each loops in ADF
  • Build real-world data pipelines and understand core data engineering concepts
  • Develop practical skills through hands-on projects and real-world applications.

Course content

11 sections45 lectures3h 51m total length
  • Introduction8:08
  • Download Resource0:59

Requirements

  • Willingness to learn and practice new skills in data management and analytics.
  • Access to a computer with an internet connection to install necessary software (MySQL, Excel, Python, Power BI, Alteryx).
  • No prior knowledge of databases or programming is required; however, a basic understanding of computer usage is beneficial.

Description

Unlock the world of Data Engineering with this beginner-friendly, project-based course designed to give you hands-on skills in SQL, Azure, and Azure Data Factory (ADF). Whether you're transitioning into data engineering or looking to strengthen your foundation, this course offers a practical, concise learning path.

Start by learning core database concepts, including how to create databases, tables, and perform data operations using SQL Server. Then dive into Azure Cloud – learn how to set up Azure Storage Accounts, work with Azure Data Lake Gen2, and Azure SQL Databases.

The highlight of the course is mastering Azure Data Factory (ADF) – a key tool for data orchestration. You'll build and deploy real data pipelines, handle complex transformations, and learn how to work with Linked Services, Datasets, Copy Activity, Control Flow (IF, WAIT, LOOP), and Parameters/Variables.

Whether you're preparing for your first data engineering role or upskilling for cloud-based data work, this course will guide you step-by-step using real-world examples and hands-on walkthroughs.


In today's data-driven world, understanding how to manage and analyze data is essential for success in various fields. This course, "Data Engineering Certification: Master Data with SQL& Azure" is designed for beginners who want to dive deep into the concepts of data management, relational databases, data analytics, and cloud computing.


This comprehensive course is designed to equip you with the technical skills needed to excel as a data engineer. From foundational SQL knowledge to advanced cloud data solutions, you’ll learn to design robust data pipelines, build efficient data warehousing solutions, and leverage ETL tools.

Who this course is for:

  • Beginners looking to enter the field of data management and analytics.
  • Student who want to lean data engineering concepts
  • Professionals seeking to enhance their data skills for career advancement.
  • Students in data-related disciplines wanting to gain practical experience and knowledge
  • Anyone interested in understanding data concepts and their applications in real-world scenarios.