Azure Data Engineer Training
Course Overview:
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The Azure Data Engineer Training course is designed for professionals who aim to master the skills needed to manage and implement data solutions on Microsoft Azure.
This comprehensive training provides in-depth knowledge and hands-on experience in the various Azure data services and tools. Participants will learn how to design, implement, and maintain data solutions to meet organizational needs, including data storage, processing, and security. The course covers essential aspects of Azure data engineering, including data ingestion, data transformation, and data integration using a variety of Azure services.
Course Outline:
Module 1: Introduction to Azure Data Engineering
Overview of Azure Data Engineering
Roles and Responsibilities of an Azure Data Engineer
Azure Data Services and Tools
Introduction to Azure Portal
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Module 2: Azure Data Storage Solutions
Azure Blob Storage
Overview and Architecture
Uploading and Managing Blobs
Blob Storage Tiers and Performance
Azure Data Lake Storage
Structure and Hierarchy
Data Lake Storage Gen1 vs. Gen2
Security and Access Control
Azure SQL Database
Overview and Capabilities
Data Management and Security
Scaling and Performance Optimization
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Module 3: Data Integration and ETL
Introduction to Data Integration
Azure Data Factory
Pipeline Creation and Management
Data Flow and Transformation
Integration Runtime
Azure Databricks
Introduction to Databricks
Creating and Managing Clusters
Spark SQL and DataFrames
Notebooks and Collaboration
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Module 4: Data Processing and Analytics
Azure Synapse Analytics
Overview and Architecture
Data Warehousing and Big Data Integration
Querying with SQL and Spark
Real-time Data Processing
Azure Stream Analytics
Building and Managing Streaming Jobs
Integrating with Other Azure Services
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Module 5: Data Security and Compliance
Security Best Practices
Encryption in Transit and at Rest
Role-Based Access Control (RBAC)
Managed Identities
Compliance and Governance
Data Masking
Auditing and Monitoring
GDPR and Other Compliance Standards
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Module 6: Data Visualization and Reporting
Introduction to Azure Power BI
Connecting to Data Sources
Creating Dashboards and Reports
Sharing and Collaboration
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Module 7: Advanced Data Engineering Concepts
Designing Scalable Data Solutions
Optimizing Performance and Cost
Troubleshooting and Debugging Data Pipelines
Case Studies and Best Practices
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Module 8: Hands-On Labs and Projects
Real-World Scenarios and Problem Solving
Building End-to-End Data Pipelines
Implementing Security and Compliance Measures
Performance Tuning and Optimization Exercises