Azure Data Engineering: End-to-End Track (60-80 Hours)

admin@academe
Last Update October 25, 2024

About This Course

Unlock your potential with our comprehensive Azure Data Engineering program, designed to provide hands-on experience with data transformation, ETL pipelines, real-time streaming, and cloud data warehousing. This program equips you with the tools and techniques used by top organizations, ensuring you gain job-ready skills in building scalable pipelines and analytics solutions on the Azure platform. With a structured, project-based curriculum, you’ll prepare for certifications like DP-203 and be ready to excel in high-demand data engineering roles.


Why Choose This Course?

  • Master In-Demand Skills: Learn Python, SQL, ETL, and cloud data services on Azure, a leading platform in enterprise cloud solutions.
  • Certification Focused: Prepare for Azure Data Fundamentals (DP-900) and Azure Data Engineer Associate (DP-203) certifications.
  • Hands-On Projects: Build batch and real-time data pipelines, data warehouses, and live dashboards using Azure Data Factory, Synapse Analytics, and Event Hubs.
  • Industry-Relevant Curriculum: Gain practical experience by working with Azure Databricks, Power BI, and other essential tools.
  • Career Support: Enhance your job readiness with mock interviews, resume workshops, and specialized job preparation.

Who Is This Course For?

  • Aspiring Data Engineers: Begin a career in cloud data engineering with job-ready skills.
  • Developers and Data Analysts: Upgrade your skills to manage ETL pipelines and real-time data solutions.
  • IT and Cloud Professionals: Learn to build and manage data warehouses and streaming pipelines on Azure.
  • Career Switchers: Transition smoothly into data engineering roles with practical, cloud-based knowledge.

Career Outcomes and Opportunities

This course prepares you for high-demand roles such as:

  • Azure Data Engineer
  • Cloud Data Engineer
  • ETL Developer
  • Big Data Engineer
  • Data Warehouse Architect

With growing demand for cloud-native data solutions, mastering Azure tools like Data Factory, Synapse Analytics, Event Hubs, and Power BI gives you a competitive edge in the job market.


Certifications You’ll Be Ready For

  • Azure Data Fundamentals (DP-900): Demonstrates foundational knowledge of data concepts and Azure services.
  • Azure Data Engineer Associate (DP-203): Validates expertise in data integration, transformation, storage, and security.

Key Benefits of the Azure Data Engineering Program

  • End-to-End Learning Path: Covers Python, SQL, ETL pipelines, real-time streaming, and data warehousing.
  • Real-World Tools and Technologies: Gain hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and Power BI.
  • Certification-Focused Curriculum: Prepare for DP-900 and DP-203 with targeted learning modules.
  • Flexible and Practical: Self-paced learning with practical projects to build your portfolio.
  • Career Assistance: Participate in mock interviews, resume workshops, and job search preparation.

What You Will Achieve

  • Python and SQL Mastery: Automate data workflows and build SQL queries for data transformation.
  • ETL Expertise: Build pipelines using Azure Data Factory and move data between cloud services efficiently.
  • Real-Time Streaming Proficiency: Work with Azure Event Hubs and Databricks to build streaming data pipelines.
  • Data Warehousing Skills: Create and manage optimized data warehouses with Synapse Analytics.
  • Monitoring and Automation Expertise: Use Azure Monitor and Automation tools to ensure seamless data operations.

Learning Objectives

Python and SQL Mastery: For data manipulation and querying
ETL Expertise: Build pipelines using Azure Data Factory
Real-Time Streaming: Work with Event Hubs and Databricks
Data Warehousing Skills: Create optimized data warehouses with Synapse Analytics
Monitoring and Automation: Use Azure Monitor and Automation tools

Curriculum

13 Lessons

Python, SQL, and Azure Fundamentals (10 Hours)

Python for Data Engineering (5 Hours) 00:00
SQL Basics with Azure SQL Database (5 Hours) 00:00

Data Integration with Azure Data Factory (10 Hours)

Real-Time Data Streaming with Azure (10 Hours)

Data Warehousing with Azure Synapse Analytics (10 Hours)

Week 5: Monitoring, Automation, and Security (10 Hours)

Final Projects and Job Preparation (10 Hours)

Your Instructors

admin@academe

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