Crosser and Databricks
Simplified Edge and On-Premise Data Ingestion to Databricks
Intelligent Data Flows and Pipelines of Edge/On-Premise Data to Databricks with Low Code Simplicity
Low Code Streaming Integration to Databricks with Crosser
Ingest ready-to-use data to Databricks - from any data source
No matter where your data is located, in the edge, on-premises, in your cloud or in a SaaS service, use Crosser to run batch ETL and Streaming ETL to ingest ready-to-use data to Databricks.
Crosser Tutorial
Crosser and Databricks Data Ingestion Tutorial
In this tutorial, you will see how you can use Crosser to transfer ready to use Machine Data into a delta table in Databricks.
Streaming Data Flows
Crosser and Databricks Use Case Examples
SQL CDC to Databricks with KPI reporting Flow
Salesforce/CRM Data to Databricks with check against local database and condition logic
Push data/Webhook to Databricks with Data Validation Monitoring and Alerts
Industrial OT Data to Databricks with Data Transformation, Conditions & Logic
SAP/ERP Data to Databricks with KPI calculations and local dashboards
2 Examples - Distributed ML Model inference of ML Models trained in Databricks
File changes to Databricks with monitoring logic
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Crosser and Databricks Reference Architecture
Understand how Crosser fits in, and complement your current architecture, for streaming ready to use data to Databricks - and back.
Crosser and Databricks Reference Architecture
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