Selecting the right cloud data warehouse can be a long process and requires thoughtful examination. It is important to give each step the attention it deserves and involve all parties in evaluating all options. You’ll be able ensure that your data warehouse is able to meet the needs of your business when you take the time.
When selecting a cloud data warehouse, you need to take into consideration multiple factors such as scalability and performance, data integration capabilities security and compliance and cost-efficiency. You should also consider cloud native architecture, which is a platform that is built to meet the unique challenges of cloud computing with high-quality managed services and continuous delivery.
Cloud data warehouses that are the most effective perform complex analytical queries on large data sets and offer self-service analytics to business users. They should offer integrated analytics and reporting capabilities, support the most popular business intelligence tools, and be easy to integrate with operational systems, including customer relationship management (CRM) systems.
A data warehouse is an information repository that combines data from different sources to be used for analytics and reporting. It can be used to make better informed decisions as it allows you to join data from various sources, such as advertising platforms and transaction platforms, and answer questions such as “What is our return on advertising investment?”
There are two main ways to create a data-driven warehouse: extract, transform, load (ETL) and extract load transform (ELT). ELT is a first-pass method which unifies the data in the data warehouse, whereas ETL transfers existing data. Both approaches have their own pros and cons.
www.bigdataroom.info/data-room-for-ma-and-its-specific-purpose/
No comment