Modern businesses are leveraging data analytics to make better business decisions, they have to be able to store and query massive amounts of structured semi-structured, and non-structured data. This is where cloud data warehouses can help.
When selecting a cloud-based data warehouse, there are several factors to consider, such as the capacity, performance data integration, security, compliance, and cost. To help you choose a data warehouse that is compatible with the needs of your business, review these criteria against anticipated usage scenarios and workflows.
Determine the amount of data your company anticipates to receive each month, and find out if there is any seasonal patterns or spikes in the use of data. This will be important for formulating expected utilization and also help you decide on the level of storage and compute your organization requires. It is also important to consider whether you require real-time analytics that can increase costs.
Then, think about the amount of engineering resources your team will be able to commit to both startup and ongoing maintenance. If you select a fully-managed DWaaS, the vendor will assume a majority of these responsibility. However, this can limit your control and might not be a good choice for teams with a limited budget.
Some companies are turning to an approach to data warehouses that is hybrid that combines the reliability and security of a conventional relational database with the flexibility and machine learning capabilities of a data lake. One option that is popular is Databricks. The solution is based on open source technology and also has the benefit of being more accessible for non-technical users to adopt.
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