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What Are the Operations of OLAP?
OLAP (Online Analytical Processing) is a multidimensional analysis and reporting technology that enables businesses to quickly analyze and explore their data. OLAP operations can be classified into two categories: Slice and Dice and Roll-up and Drill-down.
- Slice and Dice:
"Slice and Dice" operations allow users to analyze data from different perspectives. They involve selecting a subset of data from a multidimensional dataset based on one or more criteria. The two types of "Slice and Dice" operations are:
- Slice: This operation involves selecting a single dimension from the OLAP cube to slice the data along that dimension. For example, a user can slice the data by selecting only the data for a particular region or time period.
- Dice: This operation involves selecting multiple dimensions from the OLAP cube to slice the data along those dimensions. For example, a user can dice the data by selecting only the data for a particular region and time period.
- Roll-up and Drill-down:
"Roll-up and Drill-down" operations allow users to view data at different levels of aggregation. They involve summarizing data along one or more dimensions. The two types of "Roll-up and Drill-down" operations are:
- Roll-up: This operation involves summarizing data along one or more dimensions to a higher level of aggregation. For example, a user can roll up the data from a daily level to a monthly level.
- Drill-down: This operation involves expanding the data along one or more dimensions to a lower level of aggregation. For example, a user can drill down the data from a monthly level to a daily level.
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What are the Popular OLAP Server Products?
There are several popular OLAP servers available in the market. Here are some of the most widely used OLAP server names:
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Microsoft SQL Server Analysis Services (SSAS): This is a multidimensional OLAP server from Microsoft that provides data mining and business intelligence capabilities.
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Oracle OLAP: This is a multidimensional OLAP server from Oracle that provides advanced analytics and business intelligence capabilities.
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IBM Cognos TM1: This is an OLAP server from IBM that provides in-memory multidimensional analysis, planning, and forecasting capabilities.
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SAP BW/4HANA: This is an OLAP server from SAP that provides multidimensional analysis, reporting, and planning capabilities.
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Pentaho Mondrian: This is an open-source OLAP server from Pentaho that provides multidimensional analysis, reporting, and visualization capabilities.
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Apache Kylin: This is an open-source OLAP server from Apache that provides high-performance multidimensional analysis capabilities on big data platforms.
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MicroStrategy OLAP Services: This is an OLAP server from MicroStrategy that provides multidimensional analysis, reporting, and visualization capabilities.
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Essbase: This is an OLAP server from Oracle that provides multidimensional analysis and reporting capabilities for financial planning and budgeting.
These are just a few examples of popular OLAP servers. There are several other OLAP servers available in the market that provide different features and capabilities. The choice of OLAP server depends on the specific needs and requirements of the organization.
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