Choosing a Cloud Data Warehouse

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 think about when selecting the right cloud data warehouse, including scalability and performance, data integration capabilities, security and compliance, and cost efficiency. To help you select the best data warehouse for your business needs, evaluate these criteria against expected usage scenarios and workflows.

Determine the volume of data your company anticipates each month, and determine whether there is any seasonal patterns or spikes in data usage. This will be important for calculating the expected utilization, and will aid you in deciding on the amount of storage space and computing your business requires. It is important to consider whether you require real-time data analytics, which will increase the costs of your warehouse.

Finally, consider the amount of engineering resources your team can devote to initial and ongoing maintenance. If you choose an entirely managed DWaaS environment, the vendor will assume the majority of these responsibilities. However, this will make it harder to control the system and could not be appropriate for teams with limited resources.

Certain companies are using a hybrid data-warehouse approach, which combines the security of a relational database and the governance of a traditional database with the flexibility of a data lake and the machine-learning capabilities. One of the most popular options is Databricks. The solution is built with open source technologies and also has the benefit of being more accessible to non-technical users.

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