Azure Data Engineer Associate (DP-203)
1 Design and implement data storage
1-1 Design data storage solutions
1-1 1 Identify data storage requirements
1-1 2 Select appropriate storage types
1-1 3 Design data partitioning strategies
1-1 4 Design data lifecycle management
1-1 5 Design data retention policies
1-2 Implement data storage solutions
1-2 1 Create and configure storage accounts
1-2 2 Implement data partitioning
1-2 3 Implement data lifecycle management
1-2 4 Implement data retention policies
1-2 5 Implement data encryption
2 Design and implement data processing
2-1 Design data processing solutions
2-1 1 Identify data processing requirements
2-1 2 Select appropriate data processing technologies
2-1 3 Design data ingestion strategies
2-1 4 Design data transformation strategies
2-1 5 Design data integration strategies
2-2 Implement data processing solutions
2-2 1 Implement data ingestion
2-2 2 Implement data transformation
2-2 3 Implement data integration
2-2 4 Implement data orchestration
2-2 5 Implement data quality management
3 Design and implement data security
3-1 Design data security solutions
3-1 1 Identify data security requirements
3-1 2 Design data access controls
3-1 3 Design data encryption strategies
3-1 4 Design data masking strategies
3-1 5 Design data auditing strategies
3-2 Implement data security solutions
3-2 1 Implement data access controls
3-2 2 Implement data encryption
3-2 3 Implement data masking
3-2 4 Implement data auditing
3-2 5 Implement data compliance
4 Design and implement data analytics
4-1 Design data analytics solutions
4-1 1 Identify data analytics requirements
4-1 2 Select appropriate data analytics technologies
4-1 3 Design data visualization strategies
4-1 4 Design data reporting strategies
4-1 5 Design data exploration strategies
4-2 Implement data analytics solutions
4-2 1 Implement data visualization
4-2 2 Implement data reporting
4-2 3 Implement data exploration
4-2 4 Implement data analysis
4-2 5 Implement data insights
5 Monitor and optimize data solutions
5-1 Monitor data solutions
5-1 1 Identify monitoring requirements
5-1 2 Implement monitoring tools
5-1 3 Analyze monitoring data
5-1 4 Implement alerting mechanisms
5-1 5 Implement logging and auditing
5-2 Optimize data solutions
5-2 1 Identify optimization opportunities
5-2 2 Implement performance tuning
5-2 3 Implement cost optimization
5-2 4 Implement scalability improvements
5-2 5 Implement reliability improvements
Implement Monitoring Tools

Implement Monitoring Tools

Key Concepts

Azure Monitor

Azure Monitor is a comprehensive monitoring service that provides a full stack of observability across applications, infrastructure, and networks. It collects, analyzes, and acts on telemetry data from your Azure and on-premises environments. Azure Monitor helps in identifying and diagnosing issues, optimizing performance, and ensuring the reliability of your services.

Example: A retail company might use Azure Monitor to track the performance of its e-commerce website, ensuring that response times are within acceptable limits and identifying any potential bottlenecks.

Analogy: Think of Azure Monitor as a security guard for your data center. It keeps an eye on everything, ensuring that everything runs smoothly and alerting you to any suspicious activity.

Log Analytics

Log Analytics is a feature of Azure Monitor that provides a powerful tool for querying and analyzing log data. It allows you to search through large volumes of log data to find specific events, identify trends, and gain insights. Log Analytics uses the Kusto Query Language (KQL) for advanced querying capabilities.

Example: A financial institution might use Log Analytics to query transaction logs and identify patterns of fraudulent activities, such as multiple transactions from the same account within a short period.

Analogy: Consider Log Analytics as a detective's notebook. It helps you sift through vast amounts of information (logs) to find the clues (insights) you need to solve a case (identify issues).

Application Insights

Application Insights is an extensible Application Performance Management (APM) service for developers and DevOps professionals. It helps in monitoring live applications, detecting performance anomalies, and understanding user behavior. Application Insights integrates with various development tools and provides rich performance monitoring and diagnostic capabilities.

Example: A software development team might use Application Insights to monitor the performance of their web application, track user interactions, and detect any errors or slowdowns in real-time.

Analogy: Think of Application Insights as a fitness tracker for your application. It monitors the health and performance of your app, providing insights into how it's performing and alerting you to any issues that need attention.

Alerting

Alerting in Azure Monitor allows you to create and manage alerts based on specific conditions or thresholds. When an alert is triggered, it can notify you via email, SMS, or other methods, and can also trigger automated actions like scaling resources or running a script. Alerting helps in proactively identifying and addressing issues before they impact users.

Example: A healthcare provider might set up alerts to notify administrators if the response time of their patient management system exceeds a certain threshold, ensuring that any performance issues are quickly addressed.

Analogy: Alerting is like a smoke detector in your home. It monitors for specific conditions (smoke) and alerts you (sends a notification) when something is wrong, allowing you to take immediate action.

Dashboards

Dashboards in Azure Monitor provide a customizable view of your monitoring data, allowing you to visualize key metrics and insights in a single pane of glass. You can create multiple dashboards to focus on different aspects of your environment, such as performance, availability, and user activity. Dashboards help in quickly assessing the health and performance of your systems.

Example: A marketing team might create a dashboard to visualize key metrics like website traffic, conversion rates, and social media engagement, providing a quick overview of their campaign performance.

Analogy: Consider dashboards as a control room for your data. They provide a centralized view of the most important metrics and insights, allowing you to monitor and manage your environment effectively.