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Choosing a Cloud Data Warehouse

The process of choosing the best cloud data storage can be a lengthy process and requires careful examination. It is crucial to give each step the attention it deserves and include all stakeholders when evaluating your options. Making the effort to do this will ensure that your data warehouse is in line with all your business goals.

It is essential to think about different criteria when selecting a cloud-based data warehouse. These include scalability performance, data integration, security, compliance, and cost. Additionally you should consider cloud native architectures that is designed for the unique challenges of cloud computing with the ability to manage services in granular ways and continuous delivery.

Cloud data warehouses that are the best perform complex analytical queries on huge datasets and offer self-service analytics to business users. They must be able to offer integrated analysis and reporting and should be compatible with the most popular Business Intelligence tools and seamlessly integrate with operational systems.

A data warehouse is an information repository that integrates data from multiple sources to be used for reporting and analytics. It can be used to make better informed decisions as it allows users to join data from different sources like the ad platforms and transaction platforms, to answer queries like “What is our return on investment in advertising?”

There are two main approaches for building a data warehouse: extract, transform load (ETL) and extract, load, transform (ELT). ELT is a first-pass method that unifies data in the data warehouse, whereas ETL transfers existing data. Both have advantages and disadvantages.

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