surimi-datagui/architecture-diagram.html at master · Official-EwE/surimi-datagui · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Data Infrastructure Architecture</title>
    <style>
        * {
            margin: 0;
            padding: 0;
            box-sizing: border-box;
        }

        body {
            background: #0a0e27;
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            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
            padding: 40px 20px;
            line-height: 1.6;
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        .container {
            max-width: 1400px;
            margin: 0 auto;
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        h1 {
            text-align: center;
            font-size: 2.5em;
            margin-bottom: 10px;
            background: linear-gradient(135deg, #00d4ff, #0099ff, #6600ff);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
            background-clip: text;
        }

        .subtitle {
            text-align: center;
            color: #888;
            margin-bottom: 50px;
            font-size: 1.1em;
        }

        .architecture {
            display: grid;
            grid-template-columns: 1fr;
            gap: 40px;
            margin-bottom: 60px;
        }

        .layer {
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            padding: 30px;
            transition: all 0.3s ease;
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        .layer:hover {
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            display: flex;
            align-items: center;
            gap: 12px;
            font-size: 1.4em;
            font-weight: bold;
            margin-bottom: 20px;
            color: #00d4ff;
        }

        .layer-icon {
            width: 30px;
            height: 30px;
            background: linear-gradient(135deg, #00d4ff, #0099ff);
            border-radius: 8px;
            display: flex;
            align-items: center;
            justify-content: center;
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        .components {
            display: grid;
            grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
            gap: 15px;
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        .component {
            background: rgba(0, 0, 0, 0.4);
            border-left: 4px solid #0099ff;
            border-radius: 8px;
            padding: 15px;
            transition: all 0.3s ease;
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        .component:hover {
            border-left-color: #00d4ff;
            background: rgba(0, 100, 200, 0.1);
            transform: translateX(5px);
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        .component-title {
            font-weight: bold;
            color: #00d4ff;
            margin-bottom: 8px;
            font-size: 1.05em;
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        .component-desc {
            color: #aaa;
            font-size: 0.95em;
            line-height: 1.5;
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        .flow-diagram {
            margin-top: 50px;
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            border-radius: 12px;
            padding: 40px;
            text-align: center;
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        .flow-step {
            display: inline-block;
            background: linear-gradient(135deg, rgba(0, 150, 255, 0.2), rgba(100, 100, 255, 0.1));
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            border-radius: 8px;
            padding: 15px 25px;
            margin: 10px;
            font-weight: bold;
            color: #00d4ff;
            position: relative;
            min-width: 180px;
        }

        .flow-arrow {
            color: #0099ff;
            font-size: 1.5em;
            margin: 0 5px;
            display: inline-block;
        }

        .roadmap {
            background: linear-gradient(135deg, rgba(255, 150, 0, 0.15), rgba(255, 100, 0, 0.1));
            border: 2px solid rgba(255, 150, 0, 0.3);
            border-radius: 12px;
            padding: 40px;
            margin-top: 50px;
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        .roadmap-title {
            font-size: 1.8em;
            font-weight: bold;
            color: #ffaa00;
            margin-bottom: 30px;
        }

        .roadmap-item {
            display: flex;
            gap: 20px;
            margin-bottom: 25px;
            align-items: flex-start;
        }

        .roadmap-number {
            width: 40px;
            height: 40px;
            background: linear-gradient(135deg, #00d4ff, #0099ff);
            color: #000;
            border-radius: 50%;
            display: flex;
            align-items: center;
            justify-content: center;
            font-weight: bold;
            font-size: 1.1em;
            flex-shrink: 0;
        }

        .roadmap-content {
            flex: 1;
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        .roadmap-week {
            font-weight: bold;
            color: #ffaa00;
            font-size: 1.05em;
            margin-bottom: 5px;
        }

        .roadmap-description {
            color: #bbb;
            font-size: 0.95em;
        }

        .bucket-structure {
            background: rgba(0, 0, 0, 0.4);
            border: 2px solid #0099ff;
            border-radius: 8px;
            padding: 20px;
            font-family: 'Courier New', monospace;
            font-size: 0.9em;
            color: #00d4ff;
            margin: 20px 0;
            overflow-x: auto;
        }

        .decision-box {
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            margin: 20px 0;
            color: #ccc;
        }

        .decision-title {
            font-weight: bold;
            color: #66cc00;
            margin-bottom: 10px;
        }

        @media (max-width: 768px) {
            h1 {
                font-size: 1.8em;
            }

            .components {
                grid-template-columns: 1fr;
            }

            .flow-step {
                display: block;
                margin: 10px 0;
            }
        }
    </style>
</head>
<body>
    <div class="container">
        <h1>📊 Data Infrastructure Architecture</h1>
        <p class="subtitle">CSV ingestion, metadata management, monitoring & user access</p>

        <!-- Storage Layer -->
        <div class="layer">
            <div class="layer-title">
                <div class="layer-icon">💾</div>
                Storage & Ingestion
            </div>
            <div class="components">
                <div class="component">
                    <div class="component-title">MinIO S3</div>
                    <div class="component-desc">
                        Bucket structure: <br>
                        <code>/raw/{dataset_name}/YYYY-MM-DD/</code><br>
                        <code>/staging/{dataset_name}/</code><br>
                        <code>/hive/{schema}/{table}/</code><br>
                        <code>/processed/{dataset_name}/</code>
                    </div>
                </div>
                <div class="component">
                    <div class="component-title">File Monitoring</div>
                    <div class="component-desc">
                        Option 1: MinIO bucket notifications → Kafka/Redis<br>
                        Option 2: Lightweight Python daemon with polling<br>
                        Detects new & updated CSV files automatically
                    </div>
                </div>
            </div>
            <div class="bucket-structure">
minio/<br>
├── raw/<br>
│   ├── orders/2025-01-01/orders_20250101.csv<br>
│   ├── patients/2025-01-02/patients.csv<br>
│   └── caregivers/current_schema.json<br>
├── staging/<br>
│   ├── orders/2025-01-01_validated.csv<br>
│   └── _metadata.json<br>
├── hive/<br>
│   ├── fisheries/catches/data_20251213.parquet<br>
│   └── tables/eu_catches_2023/data_20251213.parquet<br>
└── processed/<br>
    └── mart_orders/ (dbt transforms)
            </div>
        </div>

        <!-- Processing Layer -->
        <div class="layer">
            <div class="layer-title">
                <div class="layer-icon">⚡</div>
                Data Processing Pipeline
            </div>
            <div class="components">
                <div class="component">
                    <div class="component-title">Ingestion Service</div>
                    <div class="component-desc">
                        Validates CSV schema, detects incremental vs new datasets, converts to Parquet in <code>/hive/{schema}/{table}/</code>
                    </div>
                </div>
                <div class="component">
                    <div class="component-title">Hive Metastore</div>
                    <div class="component-desc">
                        Tracks table definitions and locations for Trino. Metadata stored in Postgres (<code>hive_metastore</code> DB)
                    </div>
                </div>
                <div class="component">
                    <div class="component-title">Trino (Your Setup)</div>
                    <div class="component-desc">
                        Unified SQL interface over Parquet in MinIO via Hive catalog
                    </div>
                </div>
            </div>
        </div>

        <!-- Metadata Layer -->
        <div class="layer">
            <div class="layer-title">
                <div class="layer-icon">🏷️</div>
                Metadata Management (DataHub)
            </div>
            <div class="components">
                <div class="component">
                    <div class="component-title">DataHub Container</div>
                    <div class="component-desc">
                        UI + GMS for catalog, lineage, ownership, tags, data quality metrics
                    </div>
                </div>
                <div class="component">
                    <div class="component-title">Postgres (Metadata)</div>
                    <div class="component-desc">
                        Stores Hive metastore metadata plus DataHub and Superset metadata databases
                    </div>
                </div>
                <div class="component">
                    <div class="component-title">Ingestion Connectors</div>
                    <div class="component-desc">
                        Hive source connector pulls table definitions. Custom connector for monitoring pipeline status
                    </div>
                </div>
            </div>
            <div class="decision-box">
                <div class="decision-title">Key Metadata Tracked:</div>
                Dataset name, schema, record count, last updated, data owner, retention policy, quality checks, language distribution (for multilingual data)
            </div>
        </div>

        <!-- User Access Layer -->
        <div class="layer">
            <div class="layer-title">
                <div class="layer-icon">👥</div>
                User Access & Analytics
            </div>
            <div class="components">
                <div class="component">
                    <div class="component-title">Superset</div>
                    <div class="component-desc">
                        Dashboards & ad-hoc queries via Trino. Auto-syncs table metadata from Hive catalog
                    </div>
                </div>
                <div class="component">
                    <div class="component-title">Jupyter Notebooks</div>
                    <div class="component-desc">
                        Container with python-trino, pandas, matplotlib. Programmatic access to Trino + DataHub API
                    </div>
                </div>
                <div class="component">
                    <div class="component-title">dbt (Optional)</div>
                    <div class="component-desc">
                        Transform raw → staging → marts. Auto-generates documentation linked to DataHub
                    </div>
                </div>
            </div>
            <div class="decision-box">
                <div class="decision-title">Single Source of Truth:</div>
                All tools query the same unified Trino interface. One table definition = available everywhere.
            </div>
        </div>

        <!-- Orchestration Layer -->
        <div class="layer">
            <div class="layer-title">
                <div class="layer-icon">🔄</div>
                Orchestration & Scheduling
            </div>
            <div class="components">
                <div class="component">
                    <div class="component-title">Apache Airflow</div>
                    <div class="component-desc">
                        DAGs for: file monitoring → ingestion → catalog sync → DataHub metadata extraction. Retry logic, error alerts
                    </div>
                </div>
                <div class="component">
                    <div class="component-title">Monitoring & Alerting</div>
                    <div class="component-desc">
                        Track pipeline runs, data quality checks (schema validation, row counts, null ratios). Alert on failures
                    </div>
                </div>
            </div>
        </div>

        <!-- Data Flow -->
        <div class="flow-diagram">
            <h3 style="color: #00d4ff; margin-bottom: 20px;">Data Flow</h3>
            <div>
                <span class="flow-step">CSV lands in /raw/</span>
                <span class="flow-arrow">→</span>
                <span class="flow-step">Monitor detects</span>
                <span class="flow-arrow">→</span>
                <span class="flow-step">Validate schema</span>
                <br style="margin: 15px 0;">
                <span class="flow-step">Move to /staging/</span>
                <span class="flow-arrow">→</span>
                <span class="flow-step">Convert to Parquet</span>
                <span class="flow-arrow">→</span>
                <span class="flow-step">Hive Metastore</span>
                <span class="flow-arrow">→</span>
                <span class="flow-step">Trino queries</span>
                <br style="margin: 15px 0;">
                <span class="flow-step">DataHub syncs</span>
                <span class="flow-arrow">→</span>
                <span class="flow-step">Superset/Notebooks</span>
            </div>
        </div>

        <!-- Implementation Roadmap -->
        <div class="roadmap">
            <div class="roadmap-title">⏱️ Implementation Roadmap</div>

            <div class="roadmap-item">
                <div class="roadmap-number">1</div>
                <div class="roadmap-content">
                    <div class="roadmap-week">Week 1: Monitoring & Ingestion</div>
                    <div class="roadmap-description">
                        Set up S3 event notifications or polling daemon. Validates CSVs, moves to /staging/. Choose: Keep as CSV or convert to Parquet.
                    </div>
                </div>
            </div>

            <div class="roadmap-item">
                <div class="roadmap-number">2</div>
                <div class="roadmap-content">
                    <div class="roadmap-week">Week 2: Catalog & Trino Integration</div>
                    <div class="roadmap-description">
                        Set up Hive metastore in your Trino config. Create external table definitions. Test table discovery in Superset.
                    </div>
                </div>
            </div>

            <div class="roadmap-item">
                <div class="roadmap-number">3</div>
                <div class="roadmap-content">
                    <div class="roadmap-week">Week 3: DataHub Deployment</div>
                    <div class="roadmap-description">
                        Docker Compose setup. Configure Hive ingestion connector for automated metadata sync. Wire up UI.
                    </div>
                </div>
            </div>

            <div class="roadmap-item">
                <div class="roadmap-number">4</div>
                <div class="roadmap-content">
                    <div class="roadmap-week">Week 4: Orchestration</div>
                    <div class="roadmap-description">
                        Build Airflow DAGs for automated ingestion, catalog sync, data quality checks. Set up alerts.
                    </div>
                </div>
            </div>
        </div>

        <!-- Key Decisions -->
        <div style="background: rgba(0, 0, 0, 0.3); border: 2px solid rgba(200, 0, 200, 0.3); border-radius: 12px; padding: 40px; margin-top: 50px;">
            <h3 style="color: #cc00ff; font-size: 1.4em; margin-bottom: 20px;">🎯 Key Design Decisions</h3>

            <div class="decision-box">
                <div class="decision-title">CSV vs Parquet in Staging?</div>
                <strong>Skip Parquet if:</strong> Files are small, accessed rarely, storage not constrained.<br>
                <strong>Use Parquet if:</strong> Files are large (100MB+), queried repeatedly, compression matters.
            </div>

            <div class="decision-box">
                <div class="decision-title">File Monitoring: S3 Events vs Polling?</div>
                <strong>S3 Events (Kafka):</strong> Production-grade, real-time, scalable. More infrastructure.<br>
                <strong>Polling Daemon:</strong> Simple, works for dev/small data. Less overhead.
            </div>

            <div class="decision-box">
                <div class="decision-title">Why Hive + Iceberg?</div>
                Schema evolution (add columns without breaking code) • ACID transactions (for incremental updates) • Time travel (query historical versions) • Unified catalog for all tools
            </div>

            <div class="decision-box">
                <div class="decision-title">Why DataHub?</div>
                Single source of truth for ownership/lineage • Avoid duplication (one definition, discovered everywhere) • Data quality metrics & tagging • Integrates via REST API
            </div>

            <div class="decision-box">
                <div class="decision-title">Multilingual Data (Greek/German/French/English)</div>
                Handle at ingestion time: encoding detection + Unicode normalization (NFKC). Track language distribution. Use database collations (el_GR.UTF-8 for Greek, etc).
            </div>
        </div>
    </div>
</body>
</html>