Introductions To Azure Cloud Data Engineering

Master Azure Data Engineering with ADF, ADLS Gen2, Azure SQL

What you'll learn
- Understand the core components of Azure for data engineering including Azure Storage, Azure SQL, Data Lake Gen2, and Azure Data Factory.
- Learn how to create scalable, automated workflows to ingest, transform, and load data from multiple sources.
- Connect, transform, and load data using datasets, linked services, and control flow activities in ADF
- Work with Azure SQL for structured data storage,

Requirements
- A basic understanding of data concepts (tables, files, formats like CSV/JSON).
- Familiarity with SQL language is helpful but not mandatory.
- No prior Azure experience required, though familiarity with cloud concepts is a plus.
- A free Azure account (guided setup provided in the course).
- A willingness to follow hands-on labs and practice exercises.

Description
Are you acloud enthusiast, asoftware engineer, or adata professionallooking to expand your skills into cloud engineering? If so, this course is designed just for you.

Introduction to Azure Cloud Data Engineeringis a comprehensive and hands-on course focused onAzure's cloud-based toolsfor building, managing, and orchestrating data workflows. Whether you’re aiming for acloud engineering roleor looking to broaden your understanding ofcloud-based data infrastructure, this course is your starting point for mastering core Azure technologies.

This course provides a strong foundation inAzure Data Factory (ADF),Azure Data Lake Gen2,Azure SQL Database, andAzure Storage Accounts— the key tools used to manage and orchestrate data on Microsoft’s cloud platform. By the end of this course, you will be well-equipped to design and implement scalable data pipelines, manage big data workflows, and optimize cloud infrastructure for data-driven applications.

Who Should Take This Course?

This course is ideal for professionals aspiring to becomeCloud Engineers, as well as those who wish to enhance their cloud architecture expertise. More specifically, it’s for:

Cloud Engineersseeking to understand data workflows and storage in Azure.

Data Engineerseager to specialize in Azure’s data ecosystem and cloud tools.

Software EngineersandDevOps professionalslooking to build cloud-native data applications.

Students and New Graduatespreparing for certifications likeDP-203 (Azure Data Engineer)orDP-900 (Azure Data Fundamentals).

IT professionalswho want to expand their knowledge in the context of cloud data solutions and cloud architecture best practices.

Course Highlights

Hands-On Learning

Build real-world data pipelines withAzure Data Factory (ADF).

Create and manageAzure SQL databasesfor cloud storage.

ExploreAzure Storage Accountsand set up scalable, secure data storage systems.

What You Will Learn

Azure Cloud Basics

Get familiar withAzure portal,Resource Groups, andSubscriptions.

Understandcloud resource provisioningandmanagementin Azure.

Azure Storage Accounts & Data Lakes

Learn aboutAzure Storage Accounts, different types (Blob, File, Table, Queue), and how to use them.

Create anAzure Data Lake Gen2instance and understand thehierarchical namespacefor storing large datasets efficiently.

Azure SQL Database

Gain skills in setting up and managing anAzure SQL Database.

Understand how toingest datainto SQL fromData LakeorCSV filesand query it for business analysis.

Azure Data Factory (ADF)

Learn to design and automatedata pipelinesusing ADF.

ImplementCopy Activities,ForEach loops,IF conditions, andData Flowsfor data transformation.

Managepipeline executionwithtriggersand monitor with built-in tools.

Course Features & Benefits

Cloud Engineering-Focused Approach

This course focuses specifically oncloud engineering best practices, ensuring that learners understand how to work withcloud-native toolsto build scalable and secure data pipelines. Cloud engineers are responsible for building and maintaining cloud systems, and mastering tools likeADF,Azure Data Lake, andAzure SQLis essential.

Practical, Real-World Application

With hands-on exercises, case studies, and real-world examples fromStep2C Corp, you’ll gain experience that mirrors actual cloud engineering projects in the industry. By the end, you will have a comprehensive understanding ofdata pipeline design, cloud storage management, and security practices, which are vital to a cloud engineering role.

Master Key Azure Data Services

Azure’s ecosystem is vast, but in this course, we focus on the services that make cloud data engineering possible. You’ll become proficient in:

Azure SQLfor relational database management.

Azure Storage Accountsfor secure and scalable data storage.

Azure Data Lake Gen2for handling large datasets.

Azure Data Factoryfor building and automating data workflows.

Certification Preparation

The course prepares you for Azure certifications, such as:

DP-900: Microsoft Certified: Azure Data Fundamentals

DP-203: Microsoft Certified: Azure Data Engineer Associate

This is a perfect course for anyone looking to get certified inAzure data servicesand cloud engineering.

Real-World Applications in Cloud Engineering

Cloud engineering is about building robust, scalable infrastructure in the cloud, and Azure provides powerful tools for doing this. As organizations migrate their infrastructure to the cloud, the demand forcloud engineerswho understand how to design data storage, integration, and transformation workflows grows.Azure Data Factory (ADF)is at the heart of automating and orchestrating these cloud workflows.

Cloud engineers are expected to design systems that manage data at scale, integrate services securely, and optimize cloud costs, which is exactly what this course prepares you for. The skills gained will allow you to implement and manage enterprise-leveldata pipelines,storage solutions, andcloud infrastructure, aligning with the demands of modern cloud-first organizations.

Why Take This Course?

Launch your career in Cloud Engineeringby learning practical Azure data engineering skills.

Hands-on projects and case studieshelp you apply your learning to real-world scenarios.

Develop proficiency in Azure toolscritical for cloud data engineering roles, includingAzure Data Factory,Data Lake Gen2, andAzure SQL.

Complete a real-world data engineering projectusing Step2C Corp’s case study, simulating actual job responsibilities.

Prepare for certificationsto validate your skills and enhance your job prospects in the cloud industry.

Enroll Now!

Get started withAzure Cloud Data Engineeringtoday and unlock a world of opportunities in cloud engineering! Whether you’re a beginner or transitioning to cloud, this course will equip you with the skills to thrive in cloud-based data engineering roles.

Who this course is for:
- Cloud Engineers seeking to understand data workflows and storage in Azure.
- Data Engineers eager to specialize in Azure’s data ecosystem and cloud tools.
- Software Engineers and DevOps professionals looking to build cloud-native data applications.
- IT professionals who want to expand their knowledge in the context of cloud data solutions and cloud architecture best practices.
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