With its open source release in 2017, Hydrograph addressed a growing need for ETL development in the big data ecosystem. The tool provides an effective way to build ETLs on Hadoop using a drag-and-drop user interface to leverage the power of Spark and other big data processing engines.
As the technology landscape continues to evolve, the Bitwise team, who manages the Hydrograph open repository, has kept the tool up-to-date to meet the latest enterprise requirements. With cloud computing finding a larger place at the table, Hydrograph is ready to help transform your data strategy.
Watch this webinar on introduction to Hydrograph and the latest enhancements, including:
Production-ready Snowflake Connector for Hydrograph
Fully operational Streaming Engine for interacting with streaming data
Integration with cloud engines on AWS and GCP
Availability of new component for FTP capabilities
Components for EBCDIC to ASCII format conversion and Conditional Metadata
If cloud is on your roadmap, then Hydrograph is a must-consider tool for building data pipelines in new age, open stack technology environments. Watch now!
Who Should Watch?
- VP Data Analytics
- Director Business Intelligence and Data Warehouse
- Data Integration Manager
- ETL Developer
- Build data pipelines in cloud
- Advance cloud data warehouse strategy
- Meet ETL requirements for streaming data
- Explore a graphical tool for developing ETL on Spark