Udemy – Introductions To Azure Cloud Data Engineering

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 a cloud enthusiast, a software engineer, or a data professional looking to expand your skills into cloud engineering? If so, this course is designed just for you.Introduction to Azure Cloud Data Engineering is a comprehensive and hands-on course focused on Azure's cloud-based tools for building, managing, and orchestrating data workflows. Whether you're aiming for a cloud engineering role or looking to broaden your understanding of cloud-based data infrastructure, this course is your starting point for mastering core Azure technologies.This course provides a strong foundation in Azure Data Factory (ADF), Azure Data Lake Gen2, Azure SQL Database, and Azure 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 become Cloud Engineers, as well as those who wish to enhance their cloud architecture expertise. More specifically, it's 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.Students and New Graduates preparing for certifications like DP-203 (Azure Data Engineer) or DP-900 (Azure Data Fundamentals).IT professionals who want to expand their knowledge in the context of cloud data solutions and cloud architecture best practices.Course HighlightsHands-On LearningBuild real-world data pipelines with Azure Data Factory (ADF).Create and manage Azure SQL databases for cloud storage.Explore Azure Storage Accounts and set up scalable, secure data storage systems.What You Will LearnAzure Cloud BasicsGet familiar with Azure portal, Resource Groups, and Subscriptions.Understand cloud resource provisioning and management in Azure.Azure Storage Accounts & Data LakesLearn about Azure Storage Accounts, different types (Blob, File, Table, Queue), and how to use them.Create an Azure Data Lake Gen2 instance and understand the hierarchical namespace for storing large datasets efficiently.Azure SQL DatabaseGain skills in setting up and managing an Azure SQL Database.Understand how to ingest data into SQL from Data Lake or CSV files and query it for business analysis.Azure Data Factory (ADF)Learn to design and automate data pipelines using ADF.Implement Copy Activities, ForEach loops, IF conditions, and Data Flows for data transformation.Manage pipeline execution with triggers and monitor with built-in tools.Course Features & Benefits Cloud Engineering-Focused ApproachThis course focuses specifically on cloud engineering best practices, ensuring that learners understand how to work with cloud-native tools to build scalable and secure data pipelines. Cloud engineers are responsible for building and maintaining cloud systems, and mastering tools like ADF, Azure Data Lake, and Azure SQL is essential.Practical, Real-World ApplicationWith hands-on exercises, case studies, and real-world examples from Step2C Corp, you'll gain experience that mirrors actual cloud engineering projects in the industry. By the end, you will have a comprehensive understanding of data pipeline design, cloud storage management, and security practices, which are vital to a cloud engineering role.Master Key Azure Data ServicesAzure'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 SQL for relational database management.Azure Storage Accounts for secure and scalable data storage.Azure Data Lake Gen2 for handling large datasets.Azure Data Factory for building and automating data workflows.Certification PreparationThe course prepares you for Azure certifications, such as:DP-900: Microsoft Certified: Azure Data FundamentalsDP-203: Microsoft Certified: Azure Data Engineer AssociateThis is a perfect course for anyone looking to get certified in Azure data services and cloud engineering.Real-World Applications in Cloud EngineeringCloud 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 for cloud engineers who 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-level data pipelines, storage solutions, and cloud infrastructure, aligning with the demands of modern cloud-first organizations. Why Take This Course?Launch your career in Cloud Engineering by learning practical Azure data engineering skills.Hands-on projects and case studies help you apply your learning to real-world scenarios.Develop proficiency in Azure tools critical for cloud data engineering roles, including Azure Data Factory, Data Lake Gen2, and Azure SQL.Complete a real-world data engineering project using Step2C Corp's case study, simulating actual job responsibilities.Prepare for certifications to validate your skills and enhance your job prospects in the cloud industry.Enroll Now!Get started with Azure Cloud Data Engineering today 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.
Homepage:

https://www.udemy.com/course/cloud-data-engineering-bootcamp/

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