Talend supports Cloudera Altus

Talend is working with Cloudera as the first integration provider to support Cloudera Altus, a newly released Platform-as-a-Service (PaaS) offering that simplifies running large-scale data processing applications in the public cloud.

Companies can use combination of Altus and Talend technology to reduce overall data management costs, accelerate, and simplify hybrid, on-premises, and cloud big data projects. Today’s announcement was made in conjunction with Talend’s participation in the 2017 Strata Data Conference, taking place this week at the ExCeL London convention centre.
“We’re excited about Altus because it allows companies to deploy big data projects dramatically faster with far less operational support,” said Michael Pickett, vice president, Business Development and Partner Ecosystems, Talend. “Talend is extending this value proposition by making it incredibly easy to build and seamlessly deploy intelligent data pipelines onto the Altus platform.”
The initial Altus service targets foundational data transformation and processing workloads while minimising cluster management and operations. Altus provides users with familiar tools packaged in an open, unified, enterprise-grade platform service that delivers common storage, metadata, security and management across data sets. The service allows enterprises to easily spin up/spin down Cloudera clusters without the steep learning curve often associated with cloud.

“Talend's partnership with us is making it easy for thousands of data sources to be made available on the Altus platform and to simply execute data pipelines against those ingested data sets,” said Tom Pinckney, Head of Business Development, Cloudera. “By integrating with Altus, Talend is ensuring that our joint customers can seamlessly get up and running on the Cloudera platform - speeding their time to value. This is a big win for customers who will now have the ability to quickly and easily build and run elastic data pipelines on the trusted Cloudera distribution that feeds complex BI, data science and real-time applications.”
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