aggregate query processing definition

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  Range aggregate processing in spatial databases - IEEE Xplore

  2004111 · A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids). This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set cardinality …

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  Introduction to the MongoDB Aggregation Framework

  202221 · The processing is done on the server itself which results in less data being sent over the network. In the example used here, instead of pulling all of the documents into an application and processing them in the application, the aggregation framework allows for only the three documents we wanted from our query to be sent back to the application.

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  AQP++: Connecting Approximate Query Processing …

  2023125 · Interactive analytics requires database systems to be able to an- swer aggregation queries within interactive response times. As the amount of data is continuously growing at an unprecedented rate, this is becoming increasingly challenging. In the past, the database community has proposed two separate ideas, sampling-based ap- proximate …

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  Working with SOQL Aggregate Functions | Apex Developer …

  Aggregate functions in SOQL, such as SUM () and MAX (), allow you to roll up and summarize your data in a query. For more information on aggregate functions, see Aggregate Functions in the Salesforce SOQL and SOSL Reference Guide. You can use aggregate functions without using a GROUP BY clause. For example, you could use the …

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  Cache-Based Aggregate Query Shipping： An Efficient ...

  It is shown that TPC-H’s real-time signal-to-noise ratio is significantly lower than that of previous studies. (DQPE ) 。(RAQS ) 。 ...

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  SQL Aggregate Functions — AVG, COUNT, DISTINCT, MAX, …

  2021419 · The SQL aggregate functions — AVG, COUNT, DISTINCT, MAX, MIN, SUM — all return a value computed or derived from one column’s values, after discarding any NULL values.

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  What is Online Analytical Processing (OLAP)? | AtScale

  Definition. Online Analytical Processing (OLAP) is a method for creating queries from multidimensional data, primarily for delivering insights for Business Intelligence. OLAP involves three core operations: aggregation / consolidation (roll-up), drill-down (from summary to detail), and slicing and dicing (snapshots across multiple dimensions).

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  GROUP BY and Aggregate Functions: A Complete Overview

  2024418 · This article will give you an overview of GROUP BY, aggregate functions and how to use them together. It will also discuss common GROUP BY pitfalls.

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  Query Processing in Data Warehouses | SpringerLink

  Therefore, query processing in data warehouse systems encompasses the definition, the logical and physical optimization, as well as the efficient execution of analytical queries. The specific techniques range from classic rewrite rules to rules considering the special structure of a query. For example, data warehouse queries usually target star ...

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