Story image

Talend seals deal with Cloudera to deliver big data agility in the cloud

27 May 2017

Talend has announced it is working with Cloudera as the first integration provider to support Cloudera Altus.

The newly released Platform-as-a-Service (PaaS) offering reportedly simplifies running large scale data processing applications in the public cloud.

According to the integration provider, companies can use the combination of Altus and Talend to reduce overall data management costs, accelerate and simplify hybrid, on-premises, and cloud big data projects.

“We’re excited about Altus because it allows companies to deploy big data projects dramatically faster with far less operational support,” says 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.”

According to Altus, its service targets foundational data transformation and processing workloads while at the same time minimising cluster management and operations.

The service allows enterprises to easily spin up/spin down Cloudera clusters without the steep learning curve often associated with cloud.

Head of business development at Cloudera, Tom Pinckney says Talend’s partnership with them 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.

“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,” says Pinckney.

“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.” 

Talent affirms the partnership will enable developers to build intelligent data pipelines on the Altus platform, leveraging all its capabilities for managing and monitoring big data applications in the cloud.

Cloudera customers will be able to transparently build big data integration jobs that can run both on-premises and in the cloud, while Amazon Web Services customers will be able to take advantage of the added value, making it easier for organisations to add big data to their existing cloud data management infrastructure.

Cloud application attacks in Q1 up by 65% - Proofpoint
Proofpoint found that the education sector was the most targeted of both brute-force and sophisticated phishing attempts.
Huawei picks up accolades for software-defined camera ecosystem
"The company's software defined capabilities enable it to future-proof its camera ecosystem and greatly lower the total cost of ownership (TCO), as its single camera system is applicable to a variety of application use cases."
Gartner: Good talent put off by old tech
Technology now ranks in the top ten reasons Australian employees will leave their current role, according to Gartner’s 4Q18 Global Talent Monitor.
App downtime costs businesses over $700k per event
One hour of business-critical application downtime can cost larger companies $144,062.52 per hour, with an average repair time of over five hours.
Why application downtime costs Aussie businesses more than $762,000 on average
“These findings highlight the critical need for all Australian businesses to ensure ongoing monitoring of applications."
How AI is changing the medical industry
With NVIDIA Clara, developers can speed up their medical imaging applications and implement AI.
The Data Literacy Project expands its library of free courses
Upskilling the workforce in data literacy is fundamental to unlocking business growth.
Digital experience managers, get excited for Adobe Summit 2019
“Digital transformation may be a buzzword, but companies are trying to adapt and compete in this changing environment.”