We feature the best cloud analytics platforms, to make it simple and easy to find actionable insights within your cloud storage, especially when applied to big data.
The best cloud analytics platforms simple and easy to find actionable insights within your cloud storage, especially when applied to big data. This is especially important as cloud computing has revolutionized how business works with data not least as the profusion of data from a wide array of digital applications can be more easily collected. Business intelligence can then be applied according to a range of different sources and areas, from systems operations to employee performance. However, while a lot of SaaS platform come with built-in analytics, often you’ll need to combine different data sets from different sources, or even export data from spreadsheets for use with business intelligence tools. This is where cloud-based analytics software really comes into its own, as not only will it be able to represent all those figures and numbers into clear data visualizations, because it’s based in the cloud it means the data can be synchronized and shared across key employees or supervisors. While there are a wide array of analytics programs currently on the market, here we’ll feature the best cloud analytics platforms currently available. Azure Stream Analytics is the feature in Microsoft’s powerful Azure cloud computing platform for processing complex analytics from your data. It aims to be provide information in real-time in a way that is easy to manage even when used on the most advanced applications. There’s no need to create and allocate new IT infrastructure or virtual servers for the processing. Instead, commonly used SQL queries can be used to extract basic information, with the ability to add other programming languages such as JavaScript and C# for more complex operations. Additionally, AI and machine learning features are also available to help develop and automate more advanced processes, not least for monitoring data pipelines with millions of concurrent events without incurring any significant latency. As with other Azure services, analytics are entirely scalable according to need and you only pay for the Azure resources you are actually using. Of course, it goes without saying that this may not be the solution for smaller businesses lacking IT staff, but even if they do use Azure there are additional analyst companies who can provide both the analytics and business intelligence from your data.
