More and more organizations are considering a move or partial move from an on-premise set-up to a cloud environment. But what's so special about the cloud? Should you migrate or not? In this blogpost we discuss 5 must-consider reasons to move your BI environment to the cloud.
Do most data blogs make you feel like everything you should do is expensive, time consuming and requires complex skills? Well, this blog is different. Here are 5 practical recommendations (in no particular order) to leverage your existing business data with less effort than you think.
Choosing the right ETL tool for your company is a complex task. Both Azure Data Factory and on-premise tools have their strengths and weaknesses. It's important to understand the parameters and nuances involved to pick the right tool for the job. In this article we'll clarify the key differences and help you make the right decision for your business.
When using cloud-based technology your data is processed, stored and maintained in the cloud and not on a physical server at your organization.
This means that no infrastructure is necessary for the set-up and you don’t need to worry about system maintenance. This helps in saving resources (time and money) at the start of a project which can be used to understand requirements of the business. Your cloud solution will also be more adaptable to changing situations : newer features can be added easily and up-scaling is only one click away. By the hand of the different data security protocols and features, you can sleep soundly that your data will be secure in the cloud.
