Big data technology is all the craze. However, like all technologies, it requires investment, management and operating. The overheads can be substantial, especially if iterative testing and agile approaches are to be adopted.
Several organisations try to minimise the cost by adopting cloud technology: the provision of platforms as a service. Despite its usefulness, we’re not satisfied. We want easier and faster approaches.
Thankfully, cutting-edge cloud computing goes a long way to reducing the burden. That is why we made the strategic decision to adopt Software as a Service (SaaS) and specifically, the concept of server-less development, the logical conclusion of which is the NoDevOps paradigm. Our DSaaS team manages data, builds and deploys solutions on a cloud technology that doesn’t require the spinning of VMs or clusters of VMs whenever possible. We load data into completely distributed, scalable data management tools that are always on, giving us more time to be innovative, reduce costs and accelerate the speed at which we can deploy our outputs.
We partnered with Google Cloud Platform because of their long-term technology vision. Why would we bother with complex clusters if we can load data to BigQuery? Why would we run complex DevOps processes and infrastructure management for our applications if we can immediately deploy a new version using AppEngine in one simple line of code?
Business, ML, data management and technology excellence uniquely coalesce with our DSaaS offering.