Azure Data Lake Storage Gen2

• Basic understanding of cloud computing principles
• Fundamental knowledge of data storage solutions and databases

Audience

• Data engineers
• Cloud professionals
• Data scientists

Azure Data Lake Storage Gen2 is a comprehensive and highly scalable data storage service offered by Microsoft Azure that provides a platform for analytics workloads.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.

By the end of this training, participants will be able to:

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize data storage and access for cost and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Develop solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and optimize storage strategies.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Azure Data Lake Storage Gen2

• Overview of Azure Data Lake Storage Gen2
• Key features and benefits
• Azure Data Lake Storage Gen1 vs. Azure Blob Storage

Setting up Azure Data Lake Storage Gen2

• Account creation and configuration
• Understanding the hierarchical namespace
• Data import and export strategies

Security and Access Control

• Implementing authentication and authorization
• Managing access with Azure Active Directory (Azure AD)
• Data encryption methods and best practices

Managing Data and Cost Optimization

• Data lifecycle management with storage tiers
• Performance tuning and optimization
• Cost management and optimization strategies

Integrating with Analytics Services

• Introduction to analytics frameworks compatible with Azure Data Lake Storage Gen2
• Use cases with Azure Databricks, Azure HDInsight, and Azure Synapse Analytics
• Building ETL pipelines using Azure Data Factory

Developer Tools and APIs

• Overview of available APIs and SDKs
• Developing applications using the Azure Data Lake Storage Gen2 API
• Automation and orchestration of tasks

Monitoring, Troubleshooting, and Best Practices

• Tools and techniques for monitoring storage and access patterns
• Troubleshooting common issues
• Best practices for managing and scaling Azure Data Lake Storage Gen2

Summary and Next Steps