Since the release of Talend 7.1 users can build Talend jobs as Docker images and publish them to Docker registries. In this blog post, I am going to run through the steps to publish to the major cloud provider container registries (AWS, Azure and Google Cloud). Before I dig into publishing container images to registries, I am going to remind you the basics of building Talend Jobs in Docker images from Talend Studio as well as point out the difference between a local build and a remote build.

How do you organize an effective meeting when you don’t have a physical space to hold it? How do you manage workflows across different time zones, when some people are starting work as others go to bed? How do you integrate new people into the culture when you don’t have a physical HR department?

In the development world, we’re constantly being bombarded by new innovations with the potential to change our world. 5G, augmented reality, machine learning… there’s probably never been a more fertile and exciting time to be a developer.

Since starting out in 2011, we at Mobile Jazz have been privileged to build some of the world’s most popular apps, accumulating a combined total of over 500 million downloads across all our products. When dealing with apps of this reach and popularity, testing is crucial: a slight glitch that sneaks through the QA process will result in a deluge of complaints.

To say that organizations today are facing a complex data landscape is really an understatement. Data exists in on-premises systems and in the cloud; data is used across applications and accessed across departments. Information is being exchanged in ever-growing volumes with customers and business partners. Websites and social media platforms are constantly adding data to the mix.

Today, we're excited to share two announcements that make adopting Microsoft Azure SQL Data Warehouse (ADW) a no-brainer. First, ADW significantly increased the lead over the competition with the new price-performance benchmarks published by GigaOm, showing exponential price-performance improvements over similar solutions.