rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Formal SQL Tuning for Oracle Databases
    sub title: Practical Efficiency - Efficient Practice
  name:
    name part: Nossov, Leonid.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Ernst, Hanno.
    role:
      role term: author.
  name:
    name part: Chupis, Victor.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 109 p. 68 illus., 13 illus. in color. online resource.
  abstract: The target of SQL tuning is the improvement of the existing execution plan. The authors discuss the removal of brakes in the execution plan. Such "brakes" or bottlenecks can be recognized by a formal analysis of the execution plan. For this purpose no data model knowledge is needed. This is especially beneficial for database administrators because they are usually not or insufficiently familiar with the data model. The book presents numerous practical examples with this method.
  table of contents: Prefaces -- Introduction -- Some thoughts concerning the term "SQL Tuning" -- Minimum minimorum to the subject "Execution Plan" -- Approaches to formal SQL Tuning -- Bottlenecks in Execution Plans -- Procedure for formal SQL Tuning -- Practical experiences with formal SQL Tuning -- Appendix -- Application of the formal method for analysis of performance issues following Oracle migration.
  note: by Leonid Nossov, Hanno Ernst, Victor Chupis.
  subject:
    topic: Computer science
  subject:
    topic: Database management
  subject:
    topic: Application software
  subject:
    topic: Management information systems
  subject:
    topic: Computer Science
  subject:
    topic: Database Management
  subject:
    topic: Management of Computing and Information Systems
  subject:
    topic: Computer Appl. in Administrative Data Processing
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783662504178
  identifier: http://dx.doi.org/10.1007/978-3-662-50417-8
  record info:
    record creation date: 160916
    record change date: 20160916155440.0
    record identifier: 978-3-662-50417-8