As the center of gravity of data moves toward the Hadoop ecosystem, data integration professionals are looking for the best options to efficiently move and process big data loads.
Spark offers powerful in-memory processing that Developers need for developing ETL applications on large data sets, but the benefits of the platform can be limited by hand-coding inefficiencies.
Watch this on demand webinar on “Power Your ETL Processing with Spark” to learn how Hydrograph - the next-generation open source, GUI-based ETL tool - provides an easy-to-use option that:
Hadoop has been a proven workhorse for big data processing, but if Spark is the platform you are using to maximize speed, then watch now to learn how Hydrograph can accelerate your ETL development in the big data ecosystem.
Watch our on-demand webinar “Finally, Open Source ETL on Hadoop is Here…and it’s Easy” to get an introduction to Hydrograph, the next-generation data integration tool.