Talend, a global open source software leader, today announced the availability of version 5.4 of its next-generation integration platform, natively optimised to run inside Hadoop by leveraging MapReduce 2.0, also known as YARN. Setting itself apart as the only integration solution running inside Hadoop, version 5.4 of Talend for Big Data enables data-driven organisations to capitalise on all data assets in ways never thought possible, thanks to the power of open source-driven innovation.
"At the forefront of a big data paradigm shift, Talend invests heavily in building the integration platform of tomorrow, leveraging the benefits of open source for enterprise clients," said
"VHA is using Talend's platform to aggregate, reconcile, cleanse and deliver large and complex data sets from extremely diverse sources," said
With version 5.4, Talend continues to break ground by providing unique and unmatched capabilities to accelerate and increase value of big data projects:
YARN as the Engine: Apache Hadoop has introduced some major innovations, including YARN (also known as MapReduce 2.0). With version 5.4, Talend enables the native use of YARN as the data integration engine, allowing customers to immediately benefit from the superior resource management that YARN offers. Unlike 3rd party engines that sit on top of Hadoop, Talend v5.4 users directly benefit from the massive scalability and elasticity built into the Hadoop platform with zero overhead in scheduling, job management or platform deployment & maintenance.
Visual Optimisation of MapReduce Jobs: With version 5.4, Talend is the only vendor that enables developers to determine the most optimal way to design a MapReduce job before they run it in production. Statistics and indicators are directly available in the design environment to guide developers through the optimisation process that is performed against a sample of the actual data set.
Hadoop for Data Cleansing: Building on its commitment to data quality as being critical to data integration, Talend v5.4 supports big data quality generated as MapReduce jobs, making it possible for computationally intensive data quality tasks to be performed at an infinite scale. In addition to the already supported profiling sources which included Hadoop, Hadoop Hive and all major relational databases, Talend v5.4 adds profiling for HP Vertica and exposes the profiling connection information so that additional connections can be built by the Community.
Support for Hadoop Security with Kerberos: Organisations seeking to adopt big data are facing new challenges of management, government and security. To address this, Talend v5.4 adds support for Kerberos, the number one security framework for Hadoop, making Hadoop distributions more secure.
Commitment to the Talend Partner Ecosystem
In addition to supporting the latest platforms from partners such as Hortonworks,
Talend also continues to enhance its NoSQL support with support for batch data loads to MongoDB and Cassandra, as well as new connectors for Riak, further underscoring the company's leadership position as the leading solution for NoSQL and big data integration.
"Talend has a strong track record of world-class innovation in the data integration market," said
Version 5.4 of
From small projects to enterprise-wide implementations, Talend's highly-scalable data, application and business process integration platform maximises the value of an organisation's information assets and optimises return on investment through a usage-based subscription model. Ready for big data environments, Talend's flexible architecture easily adapts to future IT platforms. And a common set of easy-to-use tools implemented across all Talend products enable teams to scale developer skillsets, too.
More than 4,000 enterprise customers worldwide leverage Talend's solutions and services. The company has major offices in
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