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Course Outline
Introduction to Azure Data Lake Storage Gen2
- Overview of Azure Data Lake Storage Gen2.
- Key features and benefits.
- Comparing Azure Data Lake Storage Gen1 with Azure Blob Storage.
Setting Up Azure Data Lake Storage Gen2
- Account creation and configuration.
- Understanding the hierarchical namespace.
- Strategies for data import and export.
Security and Access Control
- Implementing authentication and authorization mechanisms.
- Managing access via Azure Active Directory (Azure AD).
- Data encryption methods and best practices.
Managing Data and Cost Optimization
- Managing data lifecycles using storage tiers.
- Performance tuning and optimization techniques.
- Strategies for cost management and optimization.
Integration with Analytics Services
- Introduction to analytics frameworks compatible with Azure Data Lake Storage Gen2.
- Use cases involving 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.
- Automating and orchestrating 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
Requirements
- A foundational understanding of cloud computing principles.
- Basic knowledge of data storage solutions and databases.
Target Audience
- Data engineers.
- Cloud professionals.
- Data scientists.
14 Hours
Testimonials (1)
Hands on exercises. Class should have been 5 days, but the 3 days helped to clear up a lot of questions that I had from working with NiFi already
