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DP-203: Secure, Monitor, and Optimize Data Storage and Processing

سرفصل های دوره

This course will teach you the tools, process, and approach to secure, monitor, and optimize data storage and processing.


01 Introduction
  • 001 Course Introduction

  • 02 Implement Data Security
  • 001 Introduction Implement Data Security
  • 002 Defense in Depth
  • 002 Defense in Depth.txt
  • 002 What Are the 7 Layers of Security.txt
  • 003 Implement Data Masking
  • 005 Encrypt Data at Rest and in Motion
  • 005 Microsoft Learn.txt
  • 005 University of Rochester Encryption.txt
  • 006 Implement Row-Level and Column-Level Security
  • 007 Securing Azure Data Lake through RBAC and ACLs
  • 008 Implement a Data Retention Policy
  • 008 Manage Long-Term Retention.txt
  • 009 Best Practices for Endpoint Security on Azure.txt
  • 009 Implement Secure Endpoints
  • 009 Virtual Network Service Endpoints.txt
  • 009 What Is Azure Private Link Service.txt
  • 010 Implement Resource Tokens in Azure Databricks
  • 011 Load a DataFrame with Sensitive Information
  • 012 Write Encrypted Data to Tables or Parquet Files
  • 013 Manage Sensitive Information
  • 014 Recapping Important Concepts Related to Implementing Data Security
  • 014 What Are the 7 Layers of Security.txt

  • 03 Monitor Data Storage and Data Processing
  • 001 What Is the Goal of Monitoring
  • 002 Implement Logging Used by Azure Monitor
  • 003 Configure Monitoring Services
  • 004 Monitor Stream Processing
  • 004 Raspberry Pi Azure IoT Online Simulator.txt
  • 005 Measure Performance of Data Movement
  • 006 Monitor and Update Statistics about Data across a System
  • 007 Monitor Data Pipeline Performance
  • 008 Measure Query Performance
  • 008 Monitor your Azure Synapse Analytics dedicated SQL pool workload using DMVs.txt
  • 009 Schedule and Monitor Pipeline Tests
  • 010 Interpret Azure Monitor Metrics and Logs
  • 011 Implement a Pipeline Alert Strategy
  • 012 Recapping Monitoring Data Storage and Data Processing

  • 04 Optimize and Troubleshoot Data Storage and Data Processing
  • 001 Compact Small Files
  • 002 Handle Skew in Data
  • 003 Handle Data Spill
  • 004 Optimize Resource Management
  • 005 Tune Queries by Using Indexers
  • 006 Tune Queries by Using Cache
  • 007 Troubleshoot a Failed Spark Job
  • 008 Troubleshoot a Failed Pipeline Run
  • 009 Recapping Optimizing and Troubleshooting Data Storage and Data Processing

  • 05 Conclusion
  • 001 Course Summary
  • 002 Conclusion and Whats Next
  • 003 About the Exam
  • 003 DP-203 Practice Assessment on Microsoft Learn.txt
  • 003 Microsoft Certification Exam Sandbox.txt
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