also aggregate data for query processing and the siz

also aggregate data for query processing and the siz

Processing Complex Aggregate Queries over Data Streamseral aggregate SQL queries over continuous data streams with limited mem- ory. .. Our stream query-processing engine is also allowed a certain amount of memory . size of the self-join of relation R over one of its attributes R.A as the tuples.also aggregate data for query processing and the siz,Query Processing in Sensor Networksnomena but also filtering, sharing, and combin- ing sensor . Their low cost, small size, and untethered . A smart sensor query-processing architecture using database technology ... Sensor network executing a simple aggregate query.Aggregate-Query Processing in Data Warehousing . - Brown CSAggregate-Query Processing in Data Warehousing. Environments* .. also present rules for coalescing multiple aggregation operators in a query tree into a ... the size of intermediate relations when there are many duplicate tuples GHQ95].

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  • Approximate Query Processing: Taming the Terabytes

    Aggregate queries: precision to “last decimal” not needed. • e.g., “What are the total sales of product X in NJ?” – Base data can be remote or unavailable: approximate processing .. Maintenance: Split & Merge approach as with equi-depth, but must also .. Reservoir Sampling [Vit85]: Maintains a sample S of a fixed-size M.

  • also aggregate data for query processing and the siz,

    A Framework for Fast Approximate Query Processing on Temporal .

    for temporal query processing since the data scientist is interested in . for efficiently processing temporal aggregation queries. Wavelet . achieved by sketching algorithms (often poly-logarithmic in the size of the original signal). .. not only continuous or real-valued multi-dimensional time-series data, but also discrete data.

  • Processing Complex Aggregate Queries over Data Streams

    eral aggregate SQL queries over continuous data streams with limited mem- ory. .. Our stream query-processing engine is also allowed a certain amount of memory . size of the self-join of relation R over one of its attributes R.A as the tuples.

  • A Review of Window Query Processing for Data Streams - Journal of .

    Therefore, many database schemes, such as aggregation, join, frequent pattern . The query processing engine is also called a data stream management.

  • The Case for Online Aggregation - University of California, Berkeley

    Aggregation in traditional database systems is performed in batch mode: a query is . interfaces, but also corresponding changes to database query processing, ... B+-tree for a range query, one knows the size of subranges before those.

  • Query Processing in Sensor Networks

    nomena but also filtering, sharing, and combin- ing sensor . Their low cost, small size, and untethered . A smart sensor query-processing architecture using database technology ... Sensor network executing a simple aggregate query.

  • Aggregate-Query Processing in Data Warehousing . - Brown CS

    Aggregate-Query Processing in Data Warehousing. Environments* .. also present rules for coalescing multiple aggregation operators in a query tree into a ... the size of intermediate relations when there are many duplicate tuples GHQ95].

  • Approximate Query Processing: Taming the Terabytes

    Aggregate queries: precision to “last decimal” not needed. • e.g., “What are the total sales of product X in NJ?” – Base data can be remote or unavailable: approximate processing .. Maintenance: Split & Merge approach as with equi-depth, but must also .. Reservoir Sampling [Vit85]: Maintains a sample S of a fixed-size M.

  • Building Fast and Reliable Approximate Query Processing Systems

    existing work in the sampling-based approximate query processing. (S-AQP) community .. query aggregates) that are sometimes unrealistic and can produce . at Facebook, they also produce incorrect error estimates for 24.86% of the total . analytic queries on large samples of data (of gigabytes in size) at in- teractive.

  • Oracle Database In-Memory Aggregation Paper

    Data Set Size, Concurrent Users and Query Complexity. 3 . In-Memory Aggregation also delivers big benefits when used with .. plans process queries.

  • Oblivious Query Processing - Microsoft

    query processing algorithms for a rich class of database queries in- volving selections, joins .. Interestingly, obliviousness is also a sufficient condition in the sense that . overall query processing non-oblivious since the size of the inter- mediate output can . database query involving joins, grouping aggregation (as the out-.

  • Efficient OLAP Query Processing in Distributed Data Warehouses

    queries, e.g., correlated aggregate queries and data cubes. Current day .. our strategies for distributed OLAP query processing, and also quantify the ... While Alg. GMDJDistribEval is efficient in relation to the size of the detail relations, the.

  • Efficient Aggregate Computation over Data Streams - Scott Satkin

    . processing of hundreds of aggregate queries on rapid-rate data streams, in . Also, our stream setting necessitates . [5], [13] for processing continuous queries over data streams . condition Fi; sz(Ai,Fi) to denote the size of the result after.

  • CPU Performance Tradeoffs in Block-Oriented Query Processing

    ple layout in a block-oriented query processor impacts perfor- mance. This work is . tuple layout (NSM) and vertical layout (DSM) and also dis- cuss indirect value . whereas in Aggregation only NSM allows to exploit SIMD. (in some cases). .. the size of a tuple, which is crucial for disk-based data stor- age. Unfortunately.

  • Containment of Aggregate Queries∗

    duce data sets of enormous size, while in the business sector the . aggregate queries is also of primary importance . The process of translat- ing such queries.

  • CRB-Tree: An Efficient Indexing Scheme for Range-Aggregate .

    analytical processing (OLAP), spatial databases such as geographic . information, temporal aggregate queries have also received much attention in the last .. For a data set with around 100 million points, the CRB-tree query . The query performance of CRB-trees is independent of the shape and size of the query.

  • Minimizing Communication Cost in Distributed Multi-query Processing

    high-rate data streams, the query processing operators must be placed judiciously across . We also develop several constant-factor approximation algorithms for special cases of the . that the aggregate size is constant as well. In contrast, we.

  • The Design of an Acquisitional Query Processor For Sensor Networks

    query processing that emphasize moving queries to data. In contrast, we present .. sages (the default size in TinyDB) can be delivered per second. Power consumption .. TinyDB also includes support for grouped aggregation queries. Aggre-.

  • Query Processing on Probabilistic Data: A Survey - UCLA CS

    various query evaluation techniques on probabilistic data. . traditional data processing we also need to do probabilistic inference. A typical query . nomial time in the size of the database, by pushing the probabilistic ... aggregate queries.

  • Dynamic Sample Selection for Approximate Query Processing

    approximate answers to aggregation queries is desirable. One commonly-used . the data structures built during the pre-processing phase. The requirement for fast .. imate answers for join queries was also addressed in [12], which includes . increasing the size of a sample stored on disk increases the running time of a.

  • also aggregate data for query processing and the siz,

    Scuba: Diving into Data at Facebook - Facebook Research

    To process each query, Scuba aggregates data from all .. Scuba is also the engine that underlies Facebook's code regres- .. row using size number of bits.

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