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Data Warehouse and OLAP Technology: An Overview

What is data warehouse and OLAP technology an overview data warehouse?
Data warehouse is an archive where historical corporate data is stored and can be analyzed then.
It can use different technologies for data extraction and analyzing.
And OLAP is one of those technologies that analyze and evaluate data from the data warehouse.
What is the overview and concept of data warehouse?
A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics.
Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.
What is OLAP and its types in data warehouse?
Types of OLAP – ROLAP, MOLAP, HOLAP
There are three different types of OLAP based on how data is stored in the database.
ROLAP : stands for Relational Online Analytical Processing.
It stores data in the form of rows and columns.
ROLAP does not pre-compute data; it can be accessed through SQL queries on demand.
Historical data analysis: Data warehouses are used to store and analyze historical data, allowing businesses to identify trends and patterns over time.
Good use cases for OLAP include: Sales analysis: OLAP tools can be used to analyze sales data from different perspectives, such as by product, region, or time period.

While data warehousing may have slower query performance due to complex querying and data processing, OLAP offers faster query performance due to pre-aggregation and indexing. Both technologies are beneficial for business users and data analysts in making informed decisions based on reliable and accurate information.

Data Warehouse and OLAP Technology: An Overview

What is data warehouse and OLAP technology an overview data warehouse?

What is the overview and concept of data warehouse?

What is OLAP and its types in data warehouse?