Basic elements of data warehouse
How to build a data warehouse in 7 steps:
- Elicit goals
- Conceptualize and select the platform
- Create a business case and develop a project roadmap
- Analyze the system and design the data warehouse architecture
- Develop and stabilize the system
- Launch the solution
- Ensure after-launch support
Basic elements of data warehouse
Once in the data warehouse, the data is ingested, transformed, processed, and made accessible for use in decision-making.
The three main types of data warehouses are enterprise data warehouse (EDW), operational data store (ODS), and data mart..
Basic elements of data warehouse
The need for Data Warehouse is to store clean data that can be directly used by Data Analysts, companies, Data Scientists, and other team members..
What is data warehouse in SQL Javatpoint?
A Data Warehouse (DW) is a relational database that is designed for query and analysis rather than transaction processing.
It includes historical data derived from transaction data from single and multiple sources..
What is the functionality of data warehouse Javatpoint?
Data Warehouse is used for analysis and decision making in which extensive database is required, including historical data, which operational database does not typically maintain.
The separation of an operational database from data warehouses is based on the different structures and uses of data in these systems..
