Approximate Query Processing for Big Data in Heterogeneous Databases

被引：5
|
作者：
Muniswamaiah, Manoj [1 ]
Agerwala, Tilak [1 ]
Tappert, Charles C. [1 ]
机构：
[1] Pace Univ, Seidenberg Sch CSIS, New York, NY 10038 USA
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2020年
关键词：
Big Data; approximate query processing (AQP); database; query optimizer;
D O I：
10.1109/BigData50022.2020.9378310
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Big Data analytics is used in decision making. It involves heavy computation to obtain exact answers. To alleviate this problem, approximate query processing (AQP) was adopted, which provides approximate results with error bounds. The AQP models which have been proposed are supported only by a single database. In an organization, big data is stored in multiple databases that have different data models. This research aims to provide AQP as a middleware solution using query optimization for heterogeneous databases.
引用
收藏
页码：5765 / 5767
页数：3
相关论文
共 50 条
  • [11] Approximate Query Processing for Interactive Data Science
    Kraska, Tim
    SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2017, : 525 - 525
  • [12] Processing-in-Memory for Databases: Query Processing and Data Transfer
    Baumstark, Alexander
    Jibril, Muhammad Attahir
    Sattler, Kai-Uwe
    19TH INTERNATIONAL WORKSHOP ON DATA MANAGEMENT ON NEW HARDWARE, DAMON 2023, 2023, : 107 - 111
  • [13] Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing
    Inoue, Tomohiro
    Krishna, Aneesh
    Gopalan, Raj P.
    PROCEEDINGS OF THE 2015 IEEE 19TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE, 2015, : 104 - 111
  • [14] CS*: Approximate Query Processing on Big Data using Scalable Join Correlated Sample Synopsis
    Yu, Feng
    Hou, Wen-Chi
    2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 583 - 592
  • [15] Federated Query processing for Big Data in Data Science
    Muniswamaiah, Manoj
    Agerwala, Tilak
    Tappert, Charles C.
    2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2019, : 6145 - 6147
  • [16] Incremental Query Processing on Big Data Streams
    Fegaras, Leonidas
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 28 (11) : 2998 - 3012
  • [17] Data storage and query processing for structured document databases
    Kaneko, K
    Makinouchi, A
    EIGHTH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 1997, : 92 - 97
  • [18] QUERY-PROCESSING IN DISTRIBUTED DATABASES WITH NONDISJOINT DATA
    GOYAL, P
    NARAYANAN, TS
    SADRI, F
    INFORMATION SYSTEMS, 1993, 18 (07) : 419 - 427
  • [19] Benchmarking Elastic Query Processing on Big Data
    Vorona, Dimitri
    Funke, Florian
    Kemper, Alfons
    Neumann, Thomas
    BIG DATA BENCHMARKING, WBDB 2014, 2015, 8991 : 37 - 44
  • [20] Approximate query answering in numerical databases
    Hachem, N
    Bao, CY
    Taylor, S
    EIGHTH INTERNATIONAL CONFERENCE ON SCIENTIFIC AND STATISTICAL DATABASE SYSTEMS, PROCEEDINGS, 1996, : 63 - 73
12345