Choosing a Cloud Data Warehouse
The process of choosing the best cloud-based data storage is a long and demanding process that requires careful analysis. It is essential to give each step the attention it deserves and involve all stakeholders in evaluating the various possibilities. You will be able to ensure that your data warehouse will meet all your goals for organization when you spend the time.
When selecting a cloud data warehouse, you must to evaluate multiple criteria including performance and scalability, data integration capabilities security and compliance and cost-efficiency. You should also prioritize cloud native architecture, which is a platform designed to meet the unique challenges of cloud computing using granular managed service and continuous delivery.
Cloud data warehouses that are the most effective to run complex analytical queries on large data sets and provide self-service analytics to business users. They should be able of providing integrated reporting and analysis as well as support the most popular Business Intelligence tools and integrate seamlessly with operational systems.
A data warehouse is a type of storage that collects data from various sources to be used for reporting and analysis. It can be used to make better informed decisions as it allows you to connect data from various sources such as the ad platforms and transaction platforms, to answer queries such as “What is our return on advertising investment?”
There are two principal methods to build a warehouse: extract, transform and load (ETL) or extract, load, and transform (ELT). ELT is a first pass approach that unifies data in the data warehouse, whereas ETL transfers existing data. Both models have their own pros and cons.