How does data warehousing support business intelligence and analytics?
ETL stands for “extract, transform, and load.” Together these activities make up the process used to take data from the source and convert it into a usable format – and then move it into a data warehouse or other data store..
How to do data warehousing?
How can data warehousing power a successful business intelligence strategy? For starters, as discussed earlier, an efficient data warehouse can speed up the load time for preparing and analyzing data.
It also can improve security, data compliance, storage capacity, integration compatibility, and shareability of data..
What are the three 3 process used in a data warehouse?
The various phases of Data Warehouse Implementation are 'Planning', 'Data Gathering', 'Data Analysis' and 'Business Actions'.
Every Data Warehouse needs a few important components, that needs to be defined while designing the implementation of the system, such as Data Marts, OLTP/ OLAP, ETL, Metadata, etc..
What is the standard definition of data warehouse?
A data warehouse is a central repository of information that can be analyzed to make more informed decisions.
Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence..