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 SQL Server 2012 Integration Services
  name:
    name part: Rodrigues, Francis.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Coles, Michael.
    role:
      role term: author.
  name:
    name part: Dye, David.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 636 p. online resource.
  abstract: Pro SQL Server 2012 Integration Services teaches how to take advantage of the powerful extract, transform, and load (ETL) platform included with Microsoft SQL Server 2012. You’ll learn to build scalable, robust, performance-driven enterprise ETL solutions that save time and make money for your company. You'll learn to avoid common ETL development pitfalls and how to extend the power of your ETL solutions to include virtually any possible transformation on data from any conceivable source. SQL Server Integration Services (SSIS) facilitates an unprecedented ability to load data from anywhere, perform any type of manipulation on it, and store it to any source. Whether you are populating databases, retrieving data from the Web, or performing complex calculations on large data sets, SSIS gives you the tools to get the job done. And this book gives you the knowledge to take advantage of everything SSIS offers. Helps you design and develop robust, efficient, scalable ETL solutions Walks you through using the built-in, stock components Shows how to programmatically extend the power of SSIS to cover any possible scenario.
  note: by Francis Rodrigues, Michael Coles, David Dye.
  subject:
    topic: Computer science
  subject:
    topic: Computer Science
  subject:
    topic: Computer Science, general
  classification: QA75.5-76.95
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781430236931
  identifier: http://dx.doi.org/10.1007/978-1-4302-3693-1
  record info:
    record creation date: 120912
    record change date: 20150716152206.0
    record identifier: 978-1-4302-3693-1