Modern businesses are using data analytics to make better decisions. To do this, they need to be able to store, and query massive amounts of structured, semi-structured, and unstructured information. Cloud data warehouses can help.
When selecting a cloud-based data warehouse, there are numerous aspects to take into account, including performance, scalability, data integration security, compliance and cost. To help you choose a data warehouse that is compatible with your business needs, evaluate these criteria against the expected usage scenarios and workflows.
First, figure out the amount of data your business plans to integrate each month and determine if there are seasonal patterns or spikes in usage. This is crucial for the calculation of expected utilization and will help you determine the amount of storage and computing your business requires. It’s important to consider whether you require real-time data analytics that will increase the costs of your warehouse.
Consider how much engineering expertise your team is willing to commit to the startup and ongoing maintenance. If you select a fully managed DWaaS environment, the vendor will handle the majority of these responsibilities. This can reduce your control, and could not be appropriate for teams with limited resources.
Certain companies are using an approach called a hybrid data warehouse that combines the security of a relational data store and the governance of a traditional database with the flexibility of a data lake and the capabilities of machine learning. One of the most popular options is Databricks. The solution is based on open source technology and has the additional benefit of being easier for non-technical users to adopt.