ETL with Hadoop
Convert to Hadoop without hand coding
Unlocking the power of Hadoop means connecting large volumes of data from lots of sources, and hand coding in Spark or MapReduce is not easy. Talend simplifies data integration with graphical tools and wizards that generate native code so you can start working with Spark, MapReduce, Hive, and Pig right away and grow your data integration at a predictable cost.
High Performance ETL/ELT
Connecting legacy data siloes and adding new big data sources can inject new life and agility into business operations, but not if it grinds processing to a halt. Talend delivers high performance processing in Hadoop by generating native Spark code that runs 5x faster than MapReduce. Because Talend generates native code there is nothing to install, eliminating unnecessary administrative costs and processing overhead.
What Our Customers Say
“Spark’s distributed processing capabilities allow us to enrich searchable metadata fields associated with client emails with one (or more) custom value(s) very quickly, which makes searches quicker and more effective.”
Billy Detweiler, Senior Software Developer, PGRX
“Financial departments are able to compare their performance with regard to payment delays, both approved and unexpected, through a data-analysis based approach and not mere intuition.”
Olivier Novasque, CEO
“Our focus is to enhance customer satisfaction through marketing tactics. Combining all our data has helped us better know our customers and better serve them.”
Marc Gallman, Big Data Architecture Global Business Intelligence