Databricks
Use IndexBox with Databricks to import global market data into Delta Tables and build advanced analytics, dashboards, and machine learning workflows.
Connect Databricks to IndexBox
Databricks enables you to build powerful data pipelines and advanced analytics by combining cloud-native technologies with your own data. Connecting IndexBox’s global market datasets to Databricks allows you to automate ingestion, transform data into Delta Lake tables, and create custom analytics workflows with minimal effort.
With the IndexBox API, you can:
- Ingest structured market data directly into Databricks using Python notebooks or SQL pipelines.
- Schedule automatic imports of updated market indicators, trade flows, production, prices, and forecasts for 10,000+ products across 250 countries and regions.
- Enable real-time business intelligence by connecting IndexBox data to your dashboards, ML models, or custom decision-support tools inside Databricks.
IndexBox datasets are JSON or CSV-based and can be easily transformed into Delta Tables for seamless querying with Databricks SQL, or incorporated into machine learning pipelines powered by MLflow and Apache Spark™.
This integration includes sample notebooks for:
- Authenticating to the IndexBox API
- Pulling product-level market data
- Writing data into managed tables inside Databricks
- Automating updates through scheduled jobs
With Databricks + IndexBox, your organization can unlock global market insights faster and integrate strategic data directly into your existing analytics and AI workflows.