Choosing a Cloud Data Warehouse

Modern businesses are relying on data analytics to make better decisions. To achieve this, they need to be able to store, and query massive amounts of structured, semi-structured, and unstructured data. Cloud data warehouses are the answer.

When selecting a cloud-based warehouse, there are many factors to consider, such as performance, scalability, data integration, security, compliance, and cost. These criteria can help you select a data warehouse that meets your business needs. Compare them to the expected workflows and scenarios.

First, determine the amount of data you expect your company to integrate each month, and determine if there are seasonal patterns or spikes in data usage. This will help you determine the expected usage and decide on the level of computing and storage your business needs. It is also important to think about whether you need real-time data analytics, which will drive up the costs of your warehouse.

Then, think about the amount of engineering resources your team is able to devote to initial and ongoing maintenance. If you choose a fully managed DWaaS environment, the vendor will assume the majority of these tasks. However, this will limit your control and might not be a good choice for teams with limited resources.

Certain companies are using a hybrid data-warehouse approach, which combines the reliability of a relational database and the governance of a conventional database with the flexibility of a data lake as well as the capabilities of machine learning. One of the most popular options is Databricks. It is built using open source technologies and comes with the added benefit being more accessible to users who are not tech-savvy.

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