Hydrograph is an enterprise-class, GUI-based ETL development tool designed for Big Data and Cloud platforms (AWS, Azure, Google Cloud Platform). The tool enables developers to easily build ETL applications that integrate data from multiple sources within the Big Data ecosystem for reporting and analytics consumption.
Built on a future-proof architecture to withstand technology shifts, Hydrograph provides flexibility to run on powerful processing platforms such as Apache Spark other Big Data processing engines. This future-proof architecture separates Hydrograph from other tools wherein the ETLs don’t need to be migrated to a new tool every time the technology changes.
Watch this webinar on the latest features and product demo of Hydrograph, including:
- Support for Microsoft Azure
- Business Rules Integration with JBPM Drools
- Redis support for in-memory lookups
- Other new enhancements
Who should watch
- ETL Developers
- Data Integration Managers
- Data Analytics Leaders
- Business Intelligence and Data Warehouse Directors
Key benefits of Hydrograph to be explored include
- Graphical tool for developing ETLs on Spark
- Ability to build data pipelines on AWS, GCP and Microsoft Azure
- Advanced cloud data warehouse strategy
- BRE integration with Drools
