While many cloud analytics solution providers are very reliable, an organization is still at their mercy when it comes to potential downtimes. Most vendors will promote their uptime rates, which should be considered when a vendor is chosen. For enterprises where 100% uptime is needed, a hybrid approach to cloud analytics may be the best approach.
According to RightScale, data security is the number one challenge cited by corporate cloud users. They fear data loss and leakage, and cloud implementation can create some vulnerabilities. However, as cloud adoption increases, data security becomes less of a concern as organizations become more familiar with managing risk. Training and certification can help improve security efforts to minimize this risk.
Finding the right skillsets for the job
Companies have a hard time ensuring they have the right skillsets to build and manage a cloud analytics operation. The challenge is training and hiring to keep up with changing technology. There is a known shortage of cloud architects and developers according to a RightScale survey. However, many tasks are becoming more automated, so the value proposition for cloud analytics has improved. For example, tools exist to monitor usage patterns, resources, and automate backups.
The on-demand nature of cloud analytics allows organizations to scale as needed, but companies often underestimate how much they will use their cloud analytics capabilities. They also need to ensure safeguards are in place to shut down instances that are forgotten about. This can lead to unexpected costs. Additionally, hiring cloud experts can be costly because of the shortage of professionals with this skillset.
Migrating legacy systems such as data warehouses to the cloud can be time-consuming and expensive. There’s also a risk of data loss if the migration is not done properly. It’s important that companies consider all aspects of a platform migration and back up all data in a secure fashion.