As businesses of the present are utilizing data analytics to make better business decisions, they require to be able to store and query large sets of structured, semi-structured, and non-structured data. Cloud data warehouses can help.
When selecting a cloud-based warehouse, there are several factors to consider, such as the capacity, performance, data integration security, compliance, and cost. To help you select the right data warehouse to meet your business needs, evaluate these criteria against your expected usage scenarios and workflows.
First, determine the volume of data your business plans to integrate each month and assess if there are any seasonal patterns or spikes in usage. This is crucial for calculating expected utilization and will help you determine the amount of storage space and computation your company requires. It is also important to consider whether you need real-time analytics to drive up costs.
Take into consideration how much engineering talent your team is willing to commit to the initial setup and ongoing maintenance. If you select an entirely managed DWaaS environment, the vendor will handle the majority of these responsibilities. However, this may limit your control and might not be a good choice for teams with a limited budget.
Certain companies are using an approach called a hybrid data warehouse that combines the reliability of a relational database with the governance of a traditional database with the flexibility of a data lake and the machine learning capabilities. Databricks is a very popular option. It is based on open source technologies and also has the added benefit of being simpler for non-technical users to adopt.