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The process of selecting the best cloud data storage is a long and demanding process that requires careful analysis. It is important to give each step the attention it deserves and include all stakeholders in evaluating the various options. You’ll be able ensure that your data warehouse can meet the needs of your business when you spend the time.
It is important to take into consideration different criteria when selecting a cloud-based data warehouse. These include scalability, performance, data integration, security, compliance, and cost. It is also important to consider cloud native architecture, which is a system that is designed to meet the unique challenges of cloud computing using granular managed service and continuous delivery.
The best cloud data warehouses offer high performance for advanced analytical queries and large databases and offer easy-to use self-service analytics for business users. They should have integrated analytics and reporting capabilities, and support the most well-known tools for business intelligence and be simple to integrate with operational systems, notably customer relationship management (CRM) systems.
A data warehouse is a type of storage that combines data from different sources to be used for analytics and reporting. It can be used to make better informed decisions because it allows you to connect data from various sources, such as advertising platforms and transaction platforms, to answer questions like «What is our return on advertising spend?»
There are two main ways to build a warehouse: extract, transform and load (ETL) or extract load, transform, and then extract (ELT). ELT employs an extract-first method to unify data in the warehouse, whereas ETL moves existing data into it. Both models have their pros and cons.