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approximate aggregate query processing olap

How does the OLAP processor works SAP NetWeaver Business

17/03/2021 · Calculating the formula at a row level and then aggregating upwards Here the exception aggregation would be at a customer level This would mean that Data at the level specified by the exception aggregation is fetched from the database and then the same is sent to the OLAP processor and then the output is calculated

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Sampling for Scalable Visual Analytics

quick approximate query answers Unlike online aggregation where the user can adjust precision on the fly the precision of an approximate answer in AQUA is fixed at the time of synopsis creation A more recent example of a hybrid sampling and precomputation approach is BlinkDB 13 which uses ideas from OLAP and sampling to provide

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When Should Approximate Query Processing Be Used High

25/02/2021 · This is a guest repost by Barzan Mozafari an assistant professor at University of Michigan and an advisor to a new startup that recently launched an open source OLTP OLAP Database built on The growing market for Big Data has created a lot of interest around approximate query processing AQP as a means of achieving interactive response times sub

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aggregate query processing sensor networks

Efficient Iceberg Query Processing in Sensor Networks Poster Abstract Routing and Processing Multiple Aggregate Queries in Sensor Networks Niki Trigoni Alexandre Guitton Antonios Skordylis Birkbeck College University of London London WC1E 7HX United Kingdom {niki alexandre adonis} Abstract We present a novel approach to processing continuous aggregate queries in sensor

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ICICLES Self tuning Samples for Approximate Query Answering

analytic processing OLAP systems for decision support The goal of these systems is to provide interactive response times to aggregate queries However very large database sizes may not allow true interactivity despite careful design and development of an OLAP system Approximate query answering AQUA systems are be

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Evaluation of Top k OLAP Queries Using Aggregate R trees

ward method to evaluate a top k OLAP query is to compute the aggregate value for each group and then select the groups with the highest aggregates In this paper we study the integration of the top k operator with the aggregate query processing module

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Evaluation of Approximate Query Processing Systems

consists in using a sample of the total data and processing queries with those sampled data The results of the approximate answer are better as more data is available and if have time for the continue the processing the data converges for an exact answer [10] The AQP is designed for aggregate queries such as using the

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What is Online Analytical Processing OLAP Explain

Online analytical processing OLAP is defined as The dynamic synthesis analysis and consolidation large volumes of multi dimensional data OLAP is a term that describes a technology that uses a multi dimensional view of aggregate data to provide quick access to strategic information for the purposes of advanced analysis

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Approximate aggregate functions in Standard SQL BigQuery

17/09/2021 · This makes approximate aggregation appropriate for large data streams for which linear memory usage is impractical as well as for data that is already approximate The approximate aggregate functions in this section work directly on the input data rather than an

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OLAP Online Analytical Processing Applications Types

22/11/2021 · OLAP Online Analytical Processing Tutorial In this tutorial we are going to learn about the applications of OLAP types of OLAP Advantages and Disadvantages of OLAP Submitted by Harshita Jain on November 22 2021 OLAP Online Analytical Processing is a technology for discovery of data which includes capabilities like prediction report viewing and complex analytical

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Processing Complex Aggregate Queries over Data Streams

sults to user queries while looking at the relevant data items only once and in a fixed order determined by the stream arrival pattern Two key parameters for query processing over continuous data streams are 1 the amount of memory made available to the on line algorithm and 2 the per item processing timerequired by the query processor

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Top 10 Best Analytical Processing OLAP Tools Business

27/08/2021 · OLAP tools give capacity to the user to analyze multidimensional data from multiple perspectives All of the OLAP tools are built upon three basic analytical operations Consolidation Also called roll up operation performs data aggregation that can be computed in many dimensions

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Approximate Query Processing

Unlike existing optimization techniques based on OLAP cubes or in memory extracts that can consume a lot of resources and work for a prior known queries the TIBCO ComputeDB Synopses data structures are designed to work for any ad hoc query How does it work The following diagram provides a

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The TreeScape System Reuse of Pre Computed Aggregates

In order to improve query performance modern On Line Analytical Processing OLAP systems use a technique known as practical pre aggregation whereselect combi nations of aggregate queries are materialized and re used when computing other aggregates; full pre aggregation where all combinations of aggregates are materialized is

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AQP Connecting Approximate Query Processing With

One is sampling based approximate query processing AQP [4 6 15 56] which creates a random sample of data and uses the sample to estimate query results The other is aggregate precomputation AggPre such as data cubes [30 32 34 53] which precomputes the answers to some aggregation queries and then uses the precom

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What is OLAP online analytical processing Definition

OLAP online analytical processing is computer processing that enables a user to easily and selectively extract and view data from different points of view For example a user can request that data be analyzed to display a spreadsheet showing all of a company s beach ball products sold in Florida in the month of July compare revenue figures

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Insights of Approximate Query Processing Systems

Insightsof Approximate Query Processing Systems PAGE 15 §TPC H Benchmark §OLAP §22 queries includes Aggregation Join etc §Well known and standard §Customizable § Data §1GB and 10GB §Uniformly distributed

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Spatial OLAP query engine processing aggregate queries on

A spatial OLAP query has a spatial confinement along with the conventional non spatial predicate An existing framework we opt for is to convert a spatial OLAP query into a set of queries for a general purpose ROLAP engine However little has been done at the query optimization level once the queries are submitted to the query engine

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Trends in DBMS

Current and Future DBMS Issues New applications yield new techniques New techniques yield new applications Some new applications Data warehousing On line analytical processing OLAP Data mining Distributed data Heterogeneous data and data integration Scientific/sequential/ordered data Partial or approximate query answers Current and Future Issues cont Active DBs rule management

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026 2021 SAS OLAP Cube Tuning and Query Performance

1 Paper 026 2021 SAS OLAP Cube Tuning and Query Performance Optimization Tatyana Petrova SAS Institute Inc Cary NC ABSTRACT SAS OLAP Server provides a powerful engine for processing multidimensional queries so that SAS OLAP users can get quick answers from their analysis requests This engine s power relies on well defined and properly tuned OLAP cubes A cube should be desi

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Paper Showcase

• [SIGMOD ] AQP onnecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics • [arXiv ] Learning to Optimize Join Queries With Deep Reinforcement LearningOLAP application usually prefer to spend less time and get an approximate answer

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INCORPORATING AGGREGATE QUERIES IN INTERACTIVE

Approximate aggregate answering has been extensively studied in the database literature using a variety of approaches Sampling [6] Histogram based techniques [7 8] Wavelets [4 5] Most of this work has been inspired by the On line Analytical Processing OLAP domain which mainly involves business oriented data

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Aggregations and Aggregation Designs Microsoft Docs

02/05/2021 · However the response can be almost immediate if the summarization data to answer this query has been precalculated This precalculation of summary data occurs during processing and is the foundation for the rapid response times of OLAP technology Cubes are the way that OLAP technology organizes summary data into multidimensional structures

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analytics Difference between sql query aggregation and

25/05/2021 · 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 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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Data Streams and Approximate Query Processing

Approximate query processing Example Compute average salary I Approximate answer 65000 2021 with 95% con dence I Return answer in 5 seconds I Exact answer 65792 27 I Return answer in 30 minutes Example How many users have visited a given Web site in a given month I

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aggregated query aggregated query

Second the issue of approximate aggregation query on the data streams is discussed meanwhile the approximate query theories based on the histogram synopsis is proposed and the autosuited histogram synopsis method and the histogram synopsis synchronization method are provided third the problem of predictive aggregate queries on the

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Dynamic Sample Selection for Approximate Query Processing

The area of approximate answering of aggregate queries has been the subject of extensive research Hellerstein et al [22 26] describe techniques for online aggregation in which approximate answers for queries are produced during early stages of query processing and gradually refined until all the data has been processed The online

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Is OLAP/MDX a good way to process data w/ unknown values

09/09/2021 · I m new to OLAP so perhaps I don t know the right terminology to use for this question but bear with me here I work with lots of hierarchical multidimensional data where parent/aggregated cells

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Accelerating Queries over Unstructured Data with ML Part

31/08/2021 · Approximate Aggregation The first query type we describe how to accelerate are approximate aggregation queries in which the query approximates some per record statistic over the dataset counting the number of cars per frame of video We focus on approximate aggregation since providing exact answers to queries requires exhaustively

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Online Approximate OLAP in SparkSQL SlideShare

16/06/2021 · Online Approximate OLAP in SparkSQL 1 Online Approximate OLAP in SparkSQL Kai Zengand Sameer Agarwal Hadoop Summit San Jose CA June 9th 2021 2 Hard Disks dailyreports ½ 1 Hour 1 5 Minutes 1 second Memory hourly reports 100 TB on 1000 machines Need for Quick & Continuous Feedback exploratoryqueries 3

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