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DP-203 Exam Prep – Introduction

سرفصل های دوره

1. DP-203 Exam Prep - Introduction
  • Learning Path Introduction

  • 2. Overview of Azure Services
  • 1. Course Introduction
  • 2. Azure Overview
  • 3. Using the Azure Portal
  • 4. Using the Azure CLI
  • 5. Service Categories
  • 6. Designing a Solution
  • 7. Managing Services
  • 8. Summary
  • Links.txt

  • 3. Designing an Azure Data Implementation
  • 1. Introduction
  • 2. Azure Storage
  • 3. Azure Data Services
  • 4. Relational Database Storage
  • 5. NoSQL Storage
  • 6. Cosmos DB
  • 7. Conclusion

  • 4. Introduction to Azure Synapse Analytics
  • 1. Introduction
  • 2. Azure Synapse Analytics Overview
  • 3. Serverless SQL Pool Demo
  • 4. Dedicated SQL Pool Demo
  • 5. Spark Pool Demo
  • 6. Pipeline Demo
  • 7. Summary
  • Links.txt

  • 5. Optimizing Dedicated SQL Pools in Azure Synapse Analytics
  • 1. Introduction
  • 2. Loading, Distributing, and Partitioning
  • 3. Query Optimization
  • 4. Security
  • 5. Disaster Recovery
  • 6. Summary

  • 6. Running Spark on Azure Databricks
  • 1. Introduction
  • 2. Overview
  • 3. Setup
  • 4. Notebooks
  • 5. Jobs
  • 6. Training a Machine Learning Model
  • 7. Deploying a Trained Model
  • 8. Summary
  • 09-building-and-querying-a-delta-lake.zip

  • 7. Using Azure Data Lake Storage Gen2
  • 1. Introduction
  • 2. Overview
  • 3. Creating a Filesystem
  • 4. Security
  • 5. Ingesting Data
  • 6. Accessing ADLS from Azure Databricks
  • 7. Analyzing Data with Azure Databricks
  • 8. Monitoring and Optimization
  • 9. Summary

  • 8. Introduction to Delta Lake on Azure Databricks
  • 1. Introduction
  • 2. Overview
  • 3. Using Delta Lake
  • 4. Optimizing Delta Lake
  • 5. Summary

  • 9. Designing Data Flows in Azure
  • 1. Introduction
  • 2. The Basics of Data Flow
  • 3. Common Data Flow Scenarios
  • 4. Data Lifecycle
  • 5. Determining Data Flow Requirements
  • 6. Benefits of Data Flow in the Cloud
  • 7. Assessing Data Flow Requirements
  • 8. Azure Storage
  • 9. Azure Data Lake Storage
  • 10. Demo Create an Azure Data Lake Storage Gen2 Enabled Storage Account
  • 11. Azure Data Factory
  • 12. Demo Create a Data Factory
  • 13. Demo Creating a Pipeline with a Data Factory
  • 14. Database Services
  • 15. Azure HDInsight
  • 16. Azure Databricks
  • 17. Azure Synapse Analytics
  • 18. The Modern Data Warehouse
  • 19. Summary

  • 10. Handling Slowly Changing Dimensions With Azure Synapse Analytics Pipelines
  • 1. Introduction
  • 2. Slowly Changing Dimensions
  • 3. Overview of the Example
  • 4. DEMO Creating the Data Flow
  • 5. DEMO Running the Data Flow
  • 6. Summary

  • 11. Managing Azure Blob Storage
  • 1. Introduction
  • 2. Course Introduction
  • 3. Creating an Azure Storage Account
  • 4. Moving Blobs Between Storage Containers
  • 5. Moving Blobs Between Storage Accounts
  • 6. Setting and Retrieving Blob Properties and Metadata
  • 7. Implementing Blob Leasing
  • 8. Implementing Data Archiving and Retention
  • 9. Summary

  • 12. Introduction to Azure Stream Analytics
  • 1. Introduction
  • 2. Overview
  • 3. Creating and Running a Job
  • 4. Time Windows
  • 5. Running a More Complex Job
  • 6. Monitoring
  • 7. Scaling
  • 8. Troubleshooting
  • 9. Conclusion

  • 13. Analyzing Resource Utilization on Azure
  • 1. Introduction
  • 2. Overview
  • 3. Diagnostic Logging
  • 4. Creating Locations for Diagnostic Logging
  • 5. Enabling Diagnostic Logs Using the Azure Portal
  • 6. Enabling Diagnostic Logs Using PowerShell
  • 7. Viewing and Accessing Diagnostic Data
  • 8. Alerting
  • 9. Analyzing and Creating Alerts
  • 10. Azure Advisor
  • 11. Resource Baseline
  • 12. Monitoring Cost Consumption
  • 13. Resource Tagging
  • 14. Azure Cost Management
  • 15. Azure Cost Management Demo
  • 16. Summary

  • 14. Microsoft Azure Security Solutions
  • 1. Introduction
  • 2. What is Shared Responsibility
  • 3. Responsibilities by Platform
  • 4. General Azure Security
  • 5. Storage Security
  • 6. Database Security
  • 7. Dynamic Data Masking
  • 8. Identity and Access Management
  • 9. Networking Security
  • 10. Conclusion
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