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starlight/src/content/docs/videos/thesis.mdx
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starlight/src/content/docs/videos/thesis.mdx
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**Key Components:**
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1. **Apache Kafka** : A messaging system for real-time data ingestion.
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1. **Apache Kafka**: A messaging system for real-time data ingestion.
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2. **PostgreSQL** : A relational database to persist anomaly data.
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2. **PostgreSQL**: A relational database to persist anomaly data.
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3. **GraphQL API** : Serves as the interface between backend and frontend, enabling queries and filtering.
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3. **GraphQL API**: Serves as the interface between backend and frontend, enabling queries and filtering.
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4. **Angular** : Frontend framework used to create an interactive and user-friendly dashboard.
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4. **Angular**: Frontend framework used to create an interactive and user-friendly dashboard.
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**Workflow:**
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### Lesson 2: Backend Details
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**Apache Kafka** :
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**Apache Kafka**:
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- Provides a publish-subscribe messaging model.
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- Guarantees high throughput and fault tolerance.
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- Messages persist for later consumption if needed.
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**PostgreSQL** :
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**PostgreSQL**:
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- Relational storage optimized for anomaly data.
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- Queries can be filtered, sorted, and paginated.
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**GraphQL API** :
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**GraphQL API**:
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- Flexible querying capabilities, reducing over-fetching.
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- Facilitates frontend data access with structured responses.
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**Key Consideration** : The decoupling of the backend from data sources and consumers ensures scalability and reliability.
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**Key Consideration**:
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The decoupling of the backend from data sources and consumers ensures scalability and reliability.
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### Interactive Question 2: Backend Technologies
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<Quiz title="Which technologies form the backend of the application?" multiple>
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<QuizOption correct>Kafka</QuizOption>
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<QuizOption>MySQL</QuizOption>
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<QuizOption correct>PostgreSQL</QuizOption>
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<QuizOption correct>GraphQL API</QuizOption>
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<QuizOption>MySQL</QuizOption>
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</Quiz>
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### Lesson 3: Frontend Visualization
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**Angular Framework** :
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**Angular Framework**:
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- Enables dynamic and responsive UI.
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- Used to design key components:
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- **Anomalies Table** : Searchable, paginated, and filterable table for anomaly data.
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- **Anomalies Table**: Searchable, paginated, and filterable table for anomaly data.
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- **Graph View** : Visual representation of the power grid, pinpointing sources of issues.
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- **Graph View**: Visual representation of the power grid, pinpointing sources of issues.
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- **Dashboard Overview** : Displays aggregated metrics for quick insights.
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**Best Practices for Visualization** :
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- **Dashboard Overview**: Displays aggregated metrics for quick insights.
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**Best Practices for Visualization**:
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- Intuitive design with interactive elements.
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### Lesson 4: Deployment and Integration
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**Deployment** :
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**Deployment**:
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- Docker containers ensure consistency across environments.
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- The SOA allows for modular development and maintenance.
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**Integration with Siemens Infrastructure** :
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**Integration with Siemens Infrastructure**:
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- Kafka seamlessly integrates for data transmission.
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- PostgreSQL supports Siemens' existing data workflows.
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**Outcome** :
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The solution enhances anomaly analysis by transforming unstructured logs into actionable insights, significantly reducing resolution time for Siemens engineers.
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**Outcome**:
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The solution enhances anomaly analysis by transforming unstructured logs into actionable insights, significantly reducing resolution time for Siemens engineers.
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### Interactive Question 4: Integration
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