The choice of the right cloud-based data warehouse can be a lengthy process and requires thoughtful consideration. It is crucial to give each step the proper attention and involve all stakeholders in evaluating every option. By taking the time to do so will help ensure that the data warehouse is in line with all your business goals.
It is important to take into consideration different criteria when selecting a cloud-based data warehouse. These include scalability performance, security, data integration, compliance, and cost. Additionally, you should also prioritize an architecture that is cloud-native which is a platform designed to meet the unique challenges of cloud computing with high-quality managed services that are granular 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 reporting and analysis, support the most popular Business Intelligence tools and seamlessly integrate with operational systems.
A data warehouse is a central storehouse of information that unifies data from multiple sources so it can be used for analysis and reporting. It is possible to make better decisions by combining information from different sources, including advertising platforms and transactions platforms, to answer questions such as “What is our return for advertising spend?”
There are two main ways to build a data warehouse: extract, transform load (ETL) and extract load transform (ELT). ELT employs an extract-first method to bring together data in the warehouse, whereas ETL transforms existing data into it. Both models have advantages and disadvantages.
