The process of choosing the right cloud storage service isn’t easy and requires careful consideration. It is essential to give each stage the proper attention and involve all stakeholders in evaluating all possibilities. You’ll be able ensure that your data warehouse will be able to meet all your goals for organization when you take the time.
When selecting a cloud data warehouse, it’s critical to take into consideration multiple factors such as scalability and performance, data integration capabilities security and compliance and cost-efficiency. In addition you should consider a cloud native architecture — a platform built for the unique challenges of the cloud with granular managed services and continuous delivery.
The most reliable cloud data warehouses offer high performance for complicated analytical queries and large databases, while providing easy-to-use self-service analytics for business users. They must be able to offer integrated reports and analysis as well as support the most popular tools for Business Intelligence and integrate seamlessly with operational systems.
A data warehouse is a central repository of data that combines data from various sources so it can be used for analytics and reporting. It is possible to make better decisions by joining data from various sources, including the ad platforms and transaction platforms, to answer questions like «What is the ROI of our 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 strategy big data room to bring together data in the warehouse, while ETL transfers existing data into it. Both models have their unique pros and cons.