With the growing adoption of cloud-based IT infrastructures, the proliferation of mobile and IoT devices, and the rise of social media, companies of all sizes, across all industries are amassing huge quantities of data in differing variety, velocity, veracity and validity.
Formed in 2016, Paddy Power Betfair (PPB) is the world’s largest publicly quoted sports betting and gaming company, bringing “excitement to life” for five million customers worldwide. The merger of Paddy Power and Betfair in 2016 created an additional data challenge for an already highly data-driven organization. The merged company had to bring together 70TB of data, from dozens of sources, into an integrated platform.
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.
Visual Studio Team Services is a one-stop-shop for managing source code, custom packages, agile workflow, and continuous integration. Having recently released our VSTS extension for Ghost Inspector, I thought it would be a fun idea to test and deploy an app with a Microsoft toolchain, namely Visual Studio Team Services, Microsoft Azure, and Ghost Inspector using our new extension.
2018 is the year of the cloud, and as more and more companies move to cloud technologies it is important to realize how your business can best utilize the cloud. One of the biggest issues enterprises are having today, is moving their data from their on-premise databases to their cloud data storage. This can be a long, and tedious process if you don’t have the correct tools. Luckily, Talend is here to help!
Cloud computing in the form we understand today started around 10 years ago, with the launch of Amazon Web Services (AWS). This was the first commercially viable option for businesses to store data in the cloud rather than on-premise and acted as a shared service for anyone connecting to the platform.
In early 2016, the International Consortium of Investigative Journalists (ICIJ) published the Panama Papers –one of the biggest tax-related data leaks in recent history involving 2.6 Terabytes (TBs) of information. It exposed the widespread use of offshore tax havens and shell companies by thousands of wealthy individuals and political officials, including the British and Icelandic Prime Ministers.
For quite a while now, cloud-native has been one of the hottest topics in software development. Some developers just call it hype that will lose traction and disappear after some time. For others, it’s the future of software development. Whatever the future will bring, cloud-native is currently one of the biggest trends in the software industry. It has already changed the way we think about developing, deploying and operating software products. But what exactly is “cloud native”?
DevOps is a set of practices that automates the processes between software development and IT teams so they can build, test, and release software more quickly and reliably. The concept of DevOps is founded on building a culture of collaboration between IT and business teams, which have historically functioned in relative siloes. The promised benefits include increased trust, faster software releases, and the ability to solve critical issues quickly.
If you’ve spent any time reading the round-up of 2018 technology predictions, you’ve likely seen Artificial Intelligence (AI) highlighted in nearly every one. The reason for this is because AI has a seemingly limitless number of applications and use cases for the enterprise. In fact, according to Gartner, over 85% of customer interactions will be managed without a human by 2020.
