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olap | Teradata Downloads

I am trying to create a view that returns aggregate results using OLAP functions. My intention is for the view to return the aggregates based on the data included in the where clause within the select statement that queries the view.

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Aggregate (MDX) - SQL Server | Microsoft Docs

Aggregate (MDX) 06/04/2018; 2 minutes to read; In this article. Returns a number that is calculated by aggregating over the cells returned by the set expression. If a numeric expression is not provided, this function aggregates each measure within the current query context by using the default aggregation operator that is specified for each ...

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SQL Server Analysis Services Aggregation Designs

Aggregations in SSAS offer a wonderful opportunity to improve query performance and calculation times by "pre aggregating" sets of data. These aggregations allow a cube query to ask for a specific value or set of values for a specific group of dimension attributes (a set), and have the calculation ...

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Querying OLAP Cubes - oracle

These differences impact the way you query data. With star queries, you aggregate the data by combining aggregation functions (such as sum) and the GROUP BY clause. With OLAP queries, you simply select the data you want (either stored or calculated) as a column.

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OLAP aggregation function expressions - ibm

OLAP window aggregate functions Several functions that return aggregate results, such as sums and averages, from the results of a query can also be used as OLAP functions from the context of an OLAP window. Parent topic: OLAP window expressions. Related concepts:

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Difference between sql query aggregation and aggegration ...

I have a query with respect to the advantages of building a OLAP cube vs aggregating data in database table for querying,data of say 6 months and then archiving the sql table later for analytics purpose.. Which one is better, table or OLAP cube? and why since I can aggregate and keep data in my tables also and query the aggregated data as and when needed.

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Compressed Data Cubes for OLAP Aggregate Query ...

OLAP, data cubes, clustering, density estimation, approximate query answering, data mining. 1. INTRODUCTION There has been much work on answering -dimensional aggregate queries efficiently, for example the data cube operator [13]. OLAP systems perform queries fast by pre-computing all or part of the data cube [15].

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When to use aggregate tables - microstrategy

When to use aggregate tables. MicroStrategy uses optimized SQL to query the relational database directly to answer users' questions. Users can ask any question that is supported by the data in their warehouse and then analyze the results until they find a precise answer.

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Analytics, aggregate measurements, and KPI modeling ...

Analytics, aggregate measurements, and KPI modeling. 11/02/2017; 6 minutes to read +2; In this article. This topic discusses the embedded business intelligence (BI), aggregate measurements, dimensions, and data entities, and aggregate programming model.

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Querying OLAP Cubes - oracle

These differences impact the way you query data. With star queries, you aggregate the data by combining aggregation functions (such as sum) and the GROUP BY clause. With OLAP queries, you simply select the data you want (either stored or calculated) as a column.

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Online analytical processing - Wikipedia

Online analytical processing, or OLAP (/ ˈ oʊ l æ p /), is an approach to answer -dimensional analytical (MDA) queries swiftly in computing. OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining.

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Evaluation of Top-k OLAP Queries Using Aggregate R–Trees

Evaluation of Top-k OLAP Queries Using Aggregate R–Trees 239 non-leaf entry ei corresponds to an aggregate value (e.g., sum) for all measures in the subtree pointed by ei. The tree can be used to efficiently computeaggregaterange queries, which summa- rize the .

  • Published in: symposium on large spatial databases · 2005Authors: Nikos Mamoulis · Spiridon Bakiras · Panos KalnisAffiliation: University of Hong Kong · Hong Kong University of Science and Technology · Nationa.About: R-tree · Grid · Data cube · Spatial database · Abstraction · Data warehouseGet Price
Evaluation of Top-k OLAP Queries Using Aggregate R–trees

with the largest aggregate value (e.g., "find the 10 combinations of product-type and month with the largest sum of sales"). A naive way to process top-k OLAP queries (andiceberg queries) is to perform the aggregation for each cell and then select the cells with

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Non-aggregated measure in OLAP cube - Stack Overflow

Generally you'll only have aggregate data in an OLAP cube, since the main purpose of the cube is to pre-aggregate the data. While you could add the datestamp as a Dimension, and have each value in the cube representing a single record in your relational database, you'll lose much of the performance benefit of having the data in an olap structure.

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olap | Teradata Downloads

I am trying to create a view that returns aggregate results using OLAP functions. My intention is for the view to return the aggregates based on the data included in the where clause within the select statement that queries the view.

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SPATIAL OLAP QUERY ENGINE: PROCESSING AGGREGATE .

potential of spatial OLAP (e.g., [3] and [8]), although they do not define spatial OLAP in exactly same ways as we, database researchers, do. This thesis introduces a MOLAP based spatial OLAP framework and efficient spatial OLAP query processing strategies on the framework. A spatial OLAP query typically requests aggregate information about the ...

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Metric Parameter for Aggregate Queries (OLAP) ... - GitHub

The aggregate query metric parameter has ple formats, as described below. If the metric function parameter is a field path with a reflexive link, the transitive operator can be used. Example: COUNT=(DirectReports^) This function counts all DirectReports link values for each perspective object ...

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SPATIAL OLAP QUERY ENGINE: PROCESSING AGGREGATE .

potential of spatial OLAP (e.g., [3] and [8]), although they do not define spatial OLAP in exactly same ways as we, database researchers, do. This thesis introduces a MOLAP based spatial OLAP framework and efficient spatial OLAP query processing strategies on the framework. A spatial OLAP query typically requests aggregate information about the ...

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Overview of Online Analytical Processing (OLAP) - Excel

Online Analytical Processing (OLAP) databases facilitate business-intelligence queries. OLAP is a database technology that has been optimized for querying and reporting, instead of processing transactions. The source data for OLAP is Online Transactional Processing (OLTP) databases that are commonly stored in data warehouses. OLAP data is ...

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Basics of Cube Aggregates and Data Rollup | SAP Blogs

Jul 07, 2013 · Steps before using an Aggregate. To use an aggregate for an Info Cube when executing a query, we must first activate it and then fill it with data. To use an existing aggregate select the aggregate that you want to activate and choose Activate and Fill. The system will create an active version of the aggregate.

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