Choosing a Cloud Data Warehouse

23 Oct Choosing a Cloud Data Warehouse

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Modern businesses are relying on data analytics to make better decisions. To achieve this, they need to be able to store and query large amounts of structured, semi-structured and unstructured information. This is the place cloud data warehouses can help.

When choosing a cloud-based warehouse, there are several aspects to take into account, including the ability to scale, performance, data integration security, compliance, and cost. To help you choose a data warehouse that meets your business requirements, you should evaluate these criteria against your expected workflows and use cases.

Determine the amount of data your company anticipates every month, and determine if there is a seasonal pattern or a rise in the use of data. This will help you determine the expected usage and also decide what level of storage and computing your organization needs. It is important to consider whether you require real-time data analytics, which can increase the cost of your warehouse.

Also, think about the amount of engineering resources your team will be able to commit to both startup and ongoing maintenance. If you choose a fully-managed DWaaS the vendor will take on most of these duties. This may reduce your control, and could not be suitable to teams with limited resources.

Some companies are turning to a hybrid data warehouse approach that combines the security and governance of a traditional relational database with the flexibility and machine-learning capabilities of a data lake. One of the most popular options is Databricks. This software is developed using open source technologies, and it also has the benefit of being more accessible to non-technical users.