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