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: Pro iOS Persistence
    sub title: Using Core Data
  name:
    name part: Privat, Michael.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Warner, Robert.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 388 p. 83 illus. online resource.
  abstract: Pro iOS Persistence explains how to build apps in Objective-C and Swift that persist and use data most effectively including the popular Core Data framework. Covering common and advanced persistence patterns, this book prepares any iOS developer to store and retrieve data accurately and efficiently. This book starts by giving you a solid grounding in Core Data, providing a foundation for the rest of the book. With this knowledge, you'll have all you need to master Core Data and power your data-driven applications. You'll see how to work with SQLite and how to create an efficient data model to represent your data. Once you've established your data model, you'll learn how to work with data objects and refine result sets to get the most out of the stored data. The advanced portions of the book begin by showing you how to tune your apps' performance and memory usage, to give you a truly professional edge. You'll see how to version and migrate your data as well, to ensure your data stays organized and efficient. Finally, the book covers managing table views with NSFetchedResultsController.
  note: by Michael Privat, Robert Warner.
  subject:
    topic: Computer science
  subject:
    topic: Application software
  subject:
    topic: Computer Science
  subject:
    topic: Computer Science, general
  subject:
    topic: Computer Appl. in Administrative Data Processing
  classification: QA75.5-76.95
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781430260295
  identifier: http://dx.doi.org/10.1007/978-1-4302-6029-5
  record info:
    record creation date: 141205
    record change date: 20151204170321.0
    record identifier: 978-1-4302-6029-5