Definition of Cloud Analytics
What does is it mean and how is it used
What is Cloud Analytics?
With cloud analytics, you can do data analytics in a public or private cloud, typically through a Software as a Service (SaaS) model or alternatively by hosting a data warehouse (Platform as a Service – PaaS) in the cloud on which you can run your BI, analytic and reporting software.
Why use Cloud Analytics?
The cloud has appealed to some organizations as a quick and cost-effective way to do analytics without having to change their existing infrastructure. It means you can do your analytics on someone else’s computers using a pay-as-you-go type model – and you’ll only pay for the analytics you actually do.
We give you complete freedom to have a hybrid cloud strategy, switching your data between any cloud (including Google Cloud, AWS and Microsoft Azure) and your on-premise solutions – without the need to replace your existing legacy systems. So, you get the best of both worlds.
When to use Cloud Analytics?
Analyze your data on somebody else’s computers using a pay-as-you-go type model. Only pay for the analytics you actually do. Rent computing power and licenses as opposed to purchasing them.
Did you know?
The first public cloud as we know it now was launched by Amazon in 2006. Its Elastic Compute cloud allowed companies and individuals to rent the amount of capacity according to their requirements. Now Cloud Analytics can be run on other cloud infrastructures too, such as Bigstep and Microsoft Azure.
Latest Cloud Analytics Insights
Installing a solution on your existing hardware gives you full control over your own data and enables integration – however, is the cloud better for strategic thinking?
To manage your ever-growing volumes of data a clear data strategy and the right technology is essential. Read about the two key areas to be considered for choosing ‘the right tech’.
Using the right approach in your cloud-based data analytics is fundamental for extracting value from your data. Make sure you consider three ways to cut the fluff out of your analytics.
Interested in learning more?
Whether you’re looking for more information about our fast, in-memory database, or to discover our latest insights, case studies, video content and blogs and to help guide you into the future of data.