Talend Improves Usability of Big Data with Release of Integration Platform
Talend today announced the availability of version 5.3 of its next-generation integration platform, a unified environment that scales the integration of data, application and business processes. With version 5.3, Talend allows any integration developer to develop on big data platforms without requiring specific expertise in these areas.
“Hadoop and NoSQL are changing the way people manage and analyze data, but up until now, it has been difficult to work with these technologies. The general lack of skillsets required to manage these new technologies continues to be a significant barrier to mainstream adoption,” said Fabrice Bonan, co-founder and chief technical officer, Talend. “Talend v5.3 delivers on our vision of providing innovative tools that hide the underlying complexity of big data, turning anyone with integration skills into expert big data developers.”
User-Friendly Tools for 100 Percent MapReduce Code
Talend v5.3 generates native Hadoop code and runs data transformations directly inside Hadoop for scalability. By leveraging MapReduce’s architecture for highly distributed data processing, data integration developers can build their jobs on Hadoop without the need for specialist programming skills.
Graphical Mapper for Complex Processes
The new graphical mapping functionality targeting big data, and especially the Pig language, allows developers to graphically build data flows to take source data and transform it using a visual mapper. For Hadoop developers familiar with Pig Latin, this mapper enables them to develop, test and preview their data jobs within a GUI environment.
Additional NoSQL Support
Talend 5.3 adds support for NoSQL databases in its integration solutions, Talend Platform for Big Data and Talend Open Studio for Big Data, with a new set of connectors for Couchbase, CouchDB and Neo4j. Built on Talend’s open source integration technology, Talend Open Studio for Big Data is a powerful and versatile open source solution for big data integration that natively supports Apache Hadoop, including connectors for Hadoop Distributed File System (HDFS), HCatalog, Hive, Oozie, Pig, Sqoop, Cassandra, Hbase and MongoDB – in addition to the more than 450 connectors included natively in the product. The integration of these platforms into Talend’s big data solution enables customers to use these new connectors to migrate and synchronize data between NoSQL databases and all other data stores and systems.
Of particular interest is their data integration package, which reportedly sports 450+ connectors to various data sources.
Unless you are interested in coding all new connectors for the same 450+ data sources.