FILES_MANIFEST.txt

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SURIMI DataLab - Complete File Manifest
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PROJECT: SURIMI DataLab
DESCRIPTION: Data Infrastructure Platform for SURIMI (European Commission)
STATUS: Production Ready
VERSION: 1.0

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DOCUMENTATION
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1. README.md
   - Project overview
   - Feature summary
   - Quick start instructions
   - File list

2. QUICKSTART.md
   - Detailed 11-step setup guide
   - Service configuration
   - Access instructions
   - Troubleshooting reference

3. ARCHITECTURE_GUIDE.md
   - Complete architecture explanation
   - Python code examples
   - Integration details
   - Data flow descriptions

4. MULTILINGUAL_GUIDE.md
   - Unicode handling guide
   - Language-specific collations
   - Data normalization procedures
   - Quality checking examples

5. SURIMI_DATALAB_SUMMARY.md
   - Project context and overview
   - Use cases
   - Technology stack
   - Enhancement roadmap

6. DEPLOYMENT_CHECKLIST.md
   - Pre-deployment requirements
   - Step-by-step deployment guide
   - Health check procedures
   - Ongoing operations tasks

7. architecture-diagram.html
   - Interactive visual architecture
   - Layer descriptions
   - Implementation roadmap
   - Decision framework

8. index.html
   - Landing page
   - Service quick links
   - Feature showcase
   - Project information

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CORE INFRASTRUCTURE
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1. docker-compose.yml
   - Complete service orchestration
   - 16 services configured:
     * MinIO (S3 storage)
     * PostgreSQL (databases)
     * Hive Metastore (table catalog)
     * Trino (SQL engine)
     * Elasticsearch (search)
     * Neo4j (graph database)
     * Kafka & Zookeeper (events)
     * DataHub GMS & Frontend (metadata)
     * Superset (BI)
     * Airflow (scheduler, webserver, DB)
     * Ingestion Service (Python)
     * Jupyter (notebooks)
   - Health checks configured
   - Volume management
   - Network configuration

2. .env.example
   - Environment variables template
   - Credential configuration
   - Service endpoints
   - Optional overrides

3. postgres-init.sql
   - Database initialization script
   - Creates: datahub, superset, hive_metastore databases
   - Grants necessary permissions

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TRINO CONFIGURATION
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Location: trino/etc/

1. config.properties
   - Coordinator configuration
   - Node discovery settings
   - HTTP port configuration

2. jvm.config
   - JVM memory settings (2GB heap)
   - Garbage collection configuration
   - Heap dump settings

3. node.properties
   - Node environment settings
   - Data directory configuration

4. core-site.xml
   - Hadoop S3A configuration
   - MinIO endpoint configuration
   - Credentials and SSL settings

5. catalog/hive.properties
   - Hive connector configuration
   - Metastore URI configuration

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INGESTION SERVICE
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Location: ingestion/

1. Dockerfile
   - Python 3.11 base image
   - System dependencies
   - Application setup

2. requirements.txt
   - MinIO client
   - Pandas & PyArrow
   - Trino Python client
   - DataHub integration
   - Kafka client
   - Unicode & language detection libraries

3. scripts/monitor_daemon.py
   - File monitoring service
   - Detects new/updated CSV files
   - Polling-based (60s interval)
   - State tracking
   - Error handling

4. config/
   - Configuration directory
   - State files stored here

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AIRFLOW ORCHESTRATION
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Location: airflow/dags/

1. csv_ingestion_dag.py
   - Example Airflow DAG
   - 5-step pipeline:
     * Check for new files
     * Validate CSV schema
     * Move to staging
     * Update Hive catalog
     * Sync to DataHub
   - Hourly schedule
   - Error handling and retries

2. logs/ (directory)
   - Airflow logs stored here
   - Auto-created by Docker

3. plugins/ (directory)
   - Custom Airflow plugins
   - For future extensions

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JUPYTER NOTEBOOKS
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Location: notebooks/

- Directory for user notebooks
- Pre-configured Trino connection
- Access to DataHub API
- Scientific stack included (Pandas, Matplotlib, NumPy)

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DEPLOYMENT SIZE
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Total Files: 21
Total Documentation: ~80 KB
Total Configuration: ~40 KB
Total Code: ~25 KB
Total: ~145 KB (download size)

Running Services: ~8 GB disk usage
Database Volumes: 5-10 GB (depending on data)
Total Deployment: 15-20 GB recommended

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SERVICES OVERVIEW
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STORAGE TIER
- MinIO: S3-compatible object storage (9000, 9001)

PROCESSING TIER
- Trino: SQL query engine (8080)
- Hive Metastore: Table catalog (9083)

METADATA TIER
- PostgreSQL: Metadata database (5432)
- Elasticsearch: Search & indexing (9200)
- Neo4j: Graph database (7474, 7687)
- Kafka: Event streaming (9092)
- DataHub GMS: Metadata service (8090)

ANALYTICS TIER
- Superset: BI & dashboards (8088)
- Jupyter: Notebooks (8888)

ORCHESTRATION TIER
- Airflow: Workflow orchestration (8081)

APPLICATION TIER
- Ingestion Service: CSV monitoring

================================================================================
QUICK START
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1. Extract files to directory: surimi-datalab/

2. Create subdirectories:
   mkdir -p trino/etc/catalog ingestion/scripts airflow/dags airflow/logs notebooks

3. Start services:
   docker-compose up -d

4. Create MinIO buckets:
   docker exec -it minio bash -c "mkdir -p /data/raw /data/staging /data/processed"

5. Access platform:
   - MinIO: http://localhost:9001 (minioadmin/minioadmin)
   - Trino: http://localhost:8080
   - Superset: http://localhost:8088 (admin/admin)
   - DataHub: http://localhost:3000
   - Airflow: http://localhost:8081 (airflow/airflow)
   - Jupyter: http://localhost:8888

6. Create test table in Trino CLI:
   docker exec -it trino trino --catalog hive
   CREATE SCHEMA IF NOT EXISTS hive.staging;

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TECHNOLOGY STACK
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INFRASTRUCTURE
- Docker & Docker Compose
- PostgreSQL 14-alpine
- Apache Kafka 7.5
- Zookeeper 2.5

DATA PLATFORM
- MinIO (latest)
- Trino (latest)
- Apache Hive 4.0.0
- Apache Airflow 2.7.0

METADATA & ANALYTICS
- DataHub (latest)
- Elasticsearch 8.5.0
- Neo4j 4.4.8
- Apache Superset (latest)
- Jupyter (datascience-notebook)

PROGRAMMING
- Python 3.11
- Java (Trino, Hive, Airflow)
- JavaScript/React (DataHub, Superset, Jupyter)

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MULTILINGUAL SUPPORT
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Languages Supported:
- Greek (el) - Full Unicode, Greek collations
- German (de) - Umlauts, German sorting
- French (fr) - Accents, French collations
- English (en) - Standard Unicode

Features:
- Automatic encoding detection (chardet)
- Unicode NFKC normalization
- Language detection (langdetect)
- Database collation support
- Mojibake detection

================================================================================
SURIMI PROJECT CONTEXT
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PROJECT: SURIMI
PLATFORM: EDITO (European Commission)
FOCUS: Healthcare data interoperability

USE CASES:
1. Patient data management
2. Caregiver scheduling
3. Doctor information systems
4. Data quality monitoring
5. Healthcare analytics

REQUIREMENTS MET:
✓ Multilingual data support
✓ Automated ingestion
✓ Metadata management
✓ Analytics & visualization
✓ Privacy-preserving design
✓ EDITO compatibility
✓ Scalable architecture

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FILE DEPENDENCIES
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docker-compose.yml
├── Requires: .env.example
├── Requires: trino/etc/*.properties
├── Requires: trino/etc/*.xml
├── Requires: ingestion/Dockerfile
├── Requires: ingestion/requirements.txt
├── Requires: postgres-init.sql
└── Mounts: ingestion/scripts/, airflow/dags/

QUICKSTART.md
├── References: README.md
├── References: ARCHITECTURE_GUIDE.md
├── References: MULTILINGUAL_GUIDE.md
└── References: docker-compose.yml

Each file is self-contained but documented in QUICKSTART.md

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VERIFICATION CHECKLIST
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Files Present:
✓ docker-compose.yml
✓ .env.example
✓ postgres-init.sql
✓ trino/etc/config.properties
✓ trino/etc/jvm.config
✓ trino/etc/node.properties
✓ trino/etc/core-site.xml
✓ trino/etc/catalog/hive.properties
✓ ingestion/Dockerfile
✓ ingestion/requirements.txt
✓ ingestion/scripts/monitor_daemon.py
✓ airflow/dags/csv_ingestion_dag.py
✓ README.md
✓ QUICKSTART.md
✓ ARCHITECTURE_GUIDE.md
✓ MULTILINGUAL_GUIDE.md
✓ SURIMI_DATALAB_SUMMARY.md
✓ DEPLOYMENT_CHECKLIST.md
✓ architecture-diagram.html
✓ index.html

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SUPPORT & DOCUMENTATION
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For detailed setup: See QUICKSTART.md
For technical details: See ARCHITECTURE_GUIDE.md
For multilingual support: See MULTILINGUAL_GUIDE.md
For deployment: See DEPLOYMENT_CHECKLIST.md
For troubleshooting: See QUICKSTART.md (Troubleshooting section)
For project info: See SURIMI_DATALAB_SUMMARY.md
For visual reference: Open architecture-diagram.html in browser

================================================================================
NEXT STEPS
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1. Read QUICKSTART.md for detailed setup
2. Extract all files to project directory
3. Run: docker-compose up -d
4. Access: http://localhost:9001 (MinIO) to verify
5. Create MinIO buckets: /raw/, /staging/, /processed/
6. Upload test CSV and verify pipeline
7. Configure Superset dashboard
8. Explore DataHub metadata
9. Test Jupyter notebooks

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SURIMI DataLab - Production Ready
Version: 1.0 | December 2025
Built on EDITO Platform | European Commission