Modern businesses are using data analytics to make better decisions. To accomplish this, they need to be able to store and query huge amounts of semi-structured, structured and unstructured information. This is the place cloud data warehouses come into.
There are a few factors to take into consideration when selecting cloud-based data warehouses that include scalability and speed data integration capabilities including security and compliance, and cost efficiency. To help you choose a data warehouse that is compatible with your business requirements, compare these criteria against anticipated use cases and workflows.
Determine the volume of data that your company anticipates each month, and determine if there is an annual pattern or a spike in the use of data. This will help you figure out the expected usage and also decide on the level of computing and storage your business requires. You should also consider whether you need real-time analytics that can increase costs.
Consider the amount of engineering resources you and your team can commit to startup and ongoing maintenance. If you opt for a fully managed DWaaS, the vendor will assume most of these responsibilities. This can reduce your control, and might not be appropriate for teams with limited resources.
Some companies are opting for an approach called a hybrid data warehouse that combines the reliability and control of a traditional relational database with the flexibility and machine-learning capabilities of the data lake. Databricks is a popular choice. It is built using open source technology and offers the added benefit of being more accessible to users who are not tech-savvy.
bigdataroom.info/how-to-secure-your-data-best-recommendations