EWE Numera Documentation¶
Welcome to the EWE Numera data platform documentation. This platform provides energy trading analytics including P&L reporting, volume analysis, credit exposure management, and clearing bank statement processing.
Quick Start by Role¶
| Role | Description | |
|---|---|---|
| Business Analysts | Explore energy trading data for P&L, volumes, credit exposure, and risk analysis. | Get started → |
| Developers | Set up your development environment and understand the data architecture. | Get started → |
What Data is Available?¶
The EWE Numera platform provides access to:
| Domain | Description | Key Models |
|---|---|---|
| P&L | Daily MTM, realized/unrealized P&L by portfolio, counterparty, delivery month | fct_pnl, fct_pnl_deal |
| Volumes | Scheduled deliveries, buy/sell positions, 15-minute power profiles | fct_volume, fct_schedule, fct_ewe_volume_pwr_by_business_case |
| Credit Exposure | Current exposure, potential exposure, PEX factors by counterparty | fct_credit_exposure, fct_credit_exposure_month |
| Clearing Statements | ABN AMRO and BNP Paribas clearing bank positions and settlements | fct_clearing_statement_open_position |
| Deals | Active trades, counterparty relationships, deal lifecycle | fct_deal, dim_deal_attribute |
| Risk | Delta exposure by index, VaR by portfolio | fct_delta, fct_var_pfolio |
Documentation Structure¶
Narrative Documentation (This Site)¶
- For Business Analysts: Business-focused guides with query examples
- For Developers: Technical setup, architecture, and troubleshooting
- Model Reference: Detailed documentation of all data models
- Data Dictionary: Business glossary and concept explanations
dbt Documentation¶
The dbt Documentation provides:
- Interactive model lineage graph (DAG viewer)
- Column-level documentation from schema YAML files
- Test coverage information
- Source-to-target data flow visualization
Key Resources¶
| Resource | Description |
|---|---|
| Business Glossary | Definitions of energy trading terms |
| Query Patterns | Copy-paste SQL examples |
| Model Reference | Complete table and column documentation |
| Troubleshooting | Common issues and solutions |
Connecting to the Data¶
From BI Tools (Power BI, Tableau)¶
Connect to Snowflake using:
- Database:
NUMERA_EWE_PROD_CORE - Schema:
NUMERA_DIM_MODEL - Role:
NUMERA_EWE_PROD_REPORTER - Warehouse:
NUMERA_PROD_REPORTING
From Python¶
import snowflake.connector
conn = snowflake.connector.connect(
user="your_user",
password="your_password",
account="your_account.snowflakecomputing.com",
database="NUMERA_EWE_PROD_CORE",
schema="NUMERA_DIM_MODEL",
warehouse="NUMERA_PROD_REPORTING",
role="NUMERA_EWE_PROD_REPORTER"
)
See Connecting to Data for detailed setup instructions.
Getting Help¶
- Data questions: Check the Business Glossary
- Table/column details: See the Model Reference
- Query help: Review Query Patterns
- Technical issues: See Troubleshooting