Today, Docker or Kubernetes are obvious choices. But, back in 2015, these technologies were just emerging and hoping for massive adoption. How do tech companies make the right open source technology choices early?

REDWOOD CITY, Calif.

Since the release of Talend 7, a major update in our software, users have been given the ability to build a complete integration flow in a CI/CD pipeline which allows to build Docker images. For more on this feature, I invite you to read the blog written by Thibault Gourdel on Going serverless with Talend through CI/CD and Containers.

Thanks for continuing to read all of our streaming data use cases during my exploration of Talend Data Streams. For the last article of this series, I wanted to walk you through a complete IoT integration scenario using a low consumption device and leveraging only cloud services. In my previous posts, I’ve used a Raspberry Pi and some sensors as my main devices. This single board computer is pretty powerful and you can install a light version of Linux as well.

Recently, there has been a surge in our customers who want to move away from legacy data integration platforms to adopting Talend as their one-stop shop for all their integration needs. Some of the organizations have thousands of legacy ETL jobs to convert to Talend before they are fully operational. The big question that lurks in everyone’s mind is how to get past this hurdle.

Redwood City, CA - September 11, 2018 - Talend (NASDAQ: TLND), a global leader in cloud integration solutions, today announced it will debut at the Strata Data Conference in New York City a new sandbox that brings sophisticated machine learning technologies to the hands of developers and data engineers so they can easily create smarter data pipelines.