Modern businesses are using data analytics to make better business decisions, they have to be able to store and query huge amounts of structured, semi-structured and unstructured data. Cloud data warehouses can help.
There are a few things to think about when selecting cloud data warehouses such as scalability and performance, data integration capabilities including security and compliance, and cost efficiency. These criteria can help you select a data warehouse to meet your business requirements. Compare them with expected use cases and workflows.
First, figure out the amount of data you expect your company to integrate every month and determine if there are seasonal patterns or spikes in the use of data. This will help you figure out the expected use and determine the appropriate amount of computing and storage your business requires. It’s also important to think about whether you require real-time data analytics, which will increase the cost of your warehouse.
Consider how much engineering expertise your team is willing to commit to the start-up and ongoing maintenance. If you choose to go with a fully-managed DWaaS environment, the vendor will assume the majority of these responsibilities. However, this could make it harder to control the system and could not be a good choice for teams with a limited budget.
Certain companies are embracing a hybrid data warehouse approach that combines the security and governance of a traditional relational database with the flexibility and machine learning capabilities bigdataroom.info/how-to-secure-your-data-best-recommendations of a data lake. One popular option is Databricks. This software is based on open source technologies and has the added advantage of being easy for non-technical users.