Azure Data Engineer Training
Azure Data Engineer Training offers comprehensive training on developing, putting into practice, and overseeing data solutions utilizing Microsoft Azure technologies. Important topics, including data processing, storage, integration, and security in the Azure cloud environment, are covered in the program. With Azure’s toolkit and services, participants learn how to manage massive data workloads, maximize performance, and guarantee data quality.
- 10+ Courses
- 30+ Projects
- 400 Hours
Azure Data Engineer Training is suitable for the following target audiences:
Data Engineers: This course is perfect for data engineers who want to become more proficient with Azure’s data solutions and enhance their capacity to plan, develop, and execute cloud-based data architectures and pipelines.
Database Administrators: This course is ideal for database administrators who want to add cloud-based data solutions to their current skill set and switch to Azure data management.
IT Professionals: This program is intended for IT professionals who want to focus on cloud data engineering and use Azure services to store, process, and analyze data.
Business Intelligence (BI) Analysts: Perfect for business intelligence (BI) professionals who wish to use Azure tools to improve their data handling and analysis skills to facilitate data-driven decision-making.
Data Scientists: Designed to help data scientists make seamless data access and processing by incorporating Azure data engineering standards into their workflows.
Azure Data Engineer: Creating and overseeing data pipelines, lakes, and warehouses on Microsoft Azure.
Cloud Data Engineer: The role of a cloud data engineer is to create and manage cloud-based data architectures while guaranteeing data availability and integration inside the Azure environment.
Data Architect: Data architects use Azure technologies to create and optimize data models, structures, and solutions that support business objectives and data management strategies.
Business Intelligence Developer: Using Azure capabilities, creating dashboards and BI solutions that make data analysis and reporting easier.
Data Integration Specialist: Overseeing responsibilities related to data integration, guaranteeing smooth data transfer across different systems and Azure platforms.
As more businesses use cloud-based data solutions, these positions in the USA and Canada provide competitive pay and opportunities for professional progression.
- A look at the Azure ecosystem.
- What an Azure Data Engineer actually does.
- Working with the Azure Portal, Resource Groups, and Subscriptions.
- Understanding data types: structured, semi-structured, and unstructured.
- An overview of Azure Storage options.
- Exploring Azure Blob Storage.
- Azure Data Lake Storage Gen2.
- Data ingestion patterns.
- Security, access control, and lifecycle management.
- Hands-on labs using storage accounts.
- Azure SQL Database.
- Azure SQL Managed Instance.
- Azure Synapse Analytics (Dedicated & Serverless pools).
- Indexing, partitioning, and performance tuning.
- The architecture of Azure Data Factory.
- Pipelines, datasets, and linked services.
- Data ingestion from both on-premises and cloud sources.
- Triggers and scheduling.
- Monitoring and error handling.
- Apache Spark fundamentals.
- Azure Databricks workspace.
- Data transformation using PySpark.
- Notebooks, jobs, and clusters.
- Integrating Databricks with Data Lake.
- Batch versus stream processing.
- Azure Stream Analytics.
- Event Hub and IoT Hub basics.
- Real-time data processing scenarios.
- Data security and encryption.
- Azure Purview (Microsoft Purview).
- Cost optimization strategies.
- Performance Monitoring and Tuning
- Comprehensive data engineering project
- Practical application of real-world use cases
- Design of best practices and architecture
- Preparation for the Azure Data Engineer (DP-203) exam
- Mock examinations and interview preparation
Enrollment is open to anyone possessing a fundamental understanding of databases, SQL, or cloud concepts.
No, Azure fundamentals are covered from the basics.
Yes, the curriculum is fully aligned with the DP-203 Azure Data Engineer Associate exam.
Yes, every module includes practical labs and real-world exercises.
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Data Lake, and more.
Yes, a course completion certificate will be provided.
Absolutely. The course is designed with flexible schedules and recorded sessions.
You’ll work on an end-to-end Azure data engineering capstone project.
Yes, interview questions, resume guidance, and mock interviews are included.
Azure Data Engineer, Cloud Data Engineer, Big Data Engineer, and Analytics Engineer roles.
We currently offer online sessions with flexible weekday/weekend batches for 8 weeks. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
You can register via our website https://checkmateittech.com/, or reach out to our support teams via phone, email, or WhatsApp.
We’ll help you with batch schedules and payment options.
Email info@checkmateittech.com Call Us +1-347-4082054
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Job opportunities in USA and Canada
Azure Data Engineer: Creating and overseeing data pipelines, lakes, and warehouses on Microsoft Azure.
Cloud Data Engineer: The role of a cloud data engineer is to create and manage cloud-based data architectures while guaranteeing data availability and integration inside the Azure environment.
Data Architect: Data architects use Azure technologies to create and optimize data models, structures, and solutions that support business objectives and data management strategies.
Business Intelligence Developer: Using Azure capabilities, creating dashboards and BI solutions that make data analysis and reporting easier.
Data Integration Specialist: Overseeing responsibilities related to data integration, guaranteeing smooth data transfer across different systems and Azure platforms.
As more businesses use cloud-based data solutions, these positions in the USA and Canada provide competitive pay and opportunities for professional progression.
