Databricks

Using Databricks in Infoveave

In Infoveave, Databricks is used to simplify the process of analyzing and visualizing enterprise-scale datasets. By connecting to Databricks, Infoveave users can leverage its distributed computing capabilities to perform real-time analytics and create impactful dashboards. This integration makes it possible to model, enrich, and visualize large datasets seamlessly without requiring additional infrastructure overhead.

Infoveave ingests data from Databricks through secure database connections, utilizing credentials and query parameters to extract required datasets. The integration ensures efficient access to structured and unstructured data stored in Databricks. Once data is ingested, Infoveave empowers users to transform, analyze, and visualize the datasets, supporting collaboration and synchronization back into Databricks pipelines.

Infoveave supports a two-way integration with Databricks, allowing users not only to consume data but also to write enriched outputs back. This synchronization ensures data pipelines remain up-to-date with transformed datasets, creating a continuous feedback loop. Businesses benefit from enriched insights being reintegrated into Databricks, supporting both analytical and operational needs in real time.

• Connect to Databricks for large-scale data processing and analytics.
• Enable collaborative dashboards for real-time decision-making in Infoveave.
• Ingest structured and unstructured data securely into Infoveave.
• Transform, model, and visualize Databricks datasets effectively.
• Synchronize enriched datasets back into Databricks pipelines seamlessly.
• Support machine learning and advanced analytics through integrated workflows.