Big data and analytics projects can help your business considerably, but their performance directly depends on the hardware used. One common issue is the lack of scalability, when your project starts using an increased amount of resources.
Not being able to grow your infrastructure along with your data volume will cause bottlenecks in your big data and analytics workloads. A non-scalable system means that the infrastructure will eventually reach its resource limit. Migrating to a different infrastructure is a complicated and time-consuming process that will generate significant downtime and costs. Let’s find out how to choose the best infrastructure that can scale along with your analytics projects.
