Docker is a platform for packaging, deploying, and running applications. Docker applications run in containers that can be used on any system: a developer’s laptop, systems on premises, or in the cloud. Containerization is a technology that’s been around for a long time, but it’s seen new life with Docker. It packages applications as images that contain everything needed to run them: code, runtime environment, libraries, and configuration.
As developers at Mobile Jazz, we know the headache of finding, reproducing, and fixing bugs in mobile apps. Several years ago, we got so fed up debugging mobile apps remotely that we started building a solution for ourselves. We did it by creating a way to remotely access the logging facilities of users’ devices. We built a makeshift server for application logs that allowed us to fix bugs across devices and continents.
“Be Prepared, because we are about to Unleash the Beast” is how I finished the Qlik Research demo at Qonnections 2018. I refer to Qlik’s new Cognitive Engine, as the “Beast” and here is why...
Recently, I've seen a lot of articles and conversation around DevOps. DevOps is a set of practices that automates the processes between software development and IT teams, in order to enable be shorter development cycles, increased deployment frequency, and more dependable releases all in conjunction with business needs.
Are you familiar with Apache Beam? If not, don’t be ashamed, as one of the latest projects developed by the Apache Software Foundation and first released in June 2016, Apache Beam is still relatively new in the data processing world. As a matter of fact, it wasn’t until recently when I started to work closely with Apache Beam, that I loved to learn and learned to love everything about it.
In this blog, we are going to take a look at Apache Spark performance and tuning. This a common discussion among almost everyone that uses Apache Spark, even outside of Talend. When developing and running your first Spark jobs there are always the following questions that come to mind.
Bugfender 2.0 is Live: Over the past year we’ve been hard at work developing Bugfender 2.0, and we’re proud to announce it’s now live. To get started, simply log into your Bugfender account!
Recently I found myself in a predicament that many of you can relate to, trying to update an aging application that has become too difficult to manage and too costly to continue operating. As we started to talk about what to do, we concluded it was time to start decomposing that application into smaller more manageable pieces.
Companies don’t gain business value just by gathering lots of data. They don’t even necessarily gain value from analyzing the data. The true keys to success are choosing the right data to focus on, knowing what to do with it, and determining the best ways to apply analytics to solve business problems or address market opportunities.
Artificial Intelligence (AI) emerged as a hot topic in 2017. Although scientists have been working on the technology and heralding its numerous anticipated benefits for more than four decades, it’s only in the past few years that society’s AI dreams have come to fruition.
