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Data Warehousing and OLAP Technology

What is OLAP technology?
Online analytical processing (OLAP) is software technology you can use to analyze business data from different points of view.
Organizations collect and store data from multiple data sources, such as websites, applications, smart meters, and internal systems.
Which technology is used in data warehousing?
Databases such as Oracle Database Server, Microsoft SQL Server, MySQL, and PostgreSQL are row-oriented database systems.
These systems have been traditionally used for data warehousing, but they are better suited for transactional processing (OLTP) than for analytics.
What is OLAP and OLTP in data warehouse?
The primary purpose of online analytical processing (OLAP) is to analyze aggregated data, while the primary purpose of online transaction processing (OLTP) is to process database transactions.
You use OLAP systems to generate reports, perform complex data analysis, and identify trends.
OLAP cubes can be considered as the final piece of the puzzle for a data warehousing solution.
An OLAP cube, also known as multidimensional cube or hypercube, is a data structure in SQL Server Analysis Services (SSAS) that is built, using OLAP databases, to allow near-instantaneous analysis of data.

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.

An Overview of Data Warehousing and OLAP Technology
Data Warehouse and OLAP Technology: An Overview
Data Warehousing and OLAP Technology

Data Warehousing and OLAP Technology

What is OLAP technology?

Which technology is used in data warehousing?

What is OLAP and OLTP in data warehouse?