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 DAX and data modeling in Power BI
    sub title: creating the perfect semantic layer to drive your dashboard analytics
  name:
    name part: Aspin, Adam
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  origin info:
    place:
      place term: nyu
    date issued: 2022
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxiii, 465 pages) : illustrations
  abstract: Develop powerful data models that bind data from disparate sources into a coherent whole. Then extend your data models using DAX-the query language that underpins Power BI-to create reusable measures to deliver finely-crafted custom calculations in your dashboards. This book starts off teaching you how to define and enhance the core structures of your data model to make it a true semantic layer that transforms complex data into familiar business terms. You'll learn how to create calculated columns to solve basic analytical challenges. Then you'll move up to mastering DAX measures to finely slice and dice your data. The book also shows how to handle temporal analysis in Power BI using a Date dimension. You will see how DAX Time Intelligence functions can simplify your analysis of data over time. Finally, the book shows how to extend DAX to filter and calculate datasets and develop DAX table functions and variables to handle complex queries.
  table of contents: 1. Using Power BI Desktop to Create a Data Model -- 2. Extending The Data Model -- 3. The Semantic Layer -- 4. Calculated Columns -- 5. Calculating Across Tables -- 6. DAX Logical Functions -- 7. Date and Time Calculations in Columns -- 8. Introduction to Measures -- 9. Filtering Measures -- 10. CALCULATE() Modifiers -- 11. The Filter() Function -- 12. Iterators -- 13. Creating and Applying a Date Dimension -- 14. Time Intelligence -- 15. DAX Variables -- 16. Table Functions -- 17. Extending the Data Model -- 18. Evaluation Context -- Appendix A: Sample Data.
  note: Adam Aspin.
  note: Includes index.
  subject:
    title info:
      title: Microsoft Power BI (Computer file)
  subject:
    title info:
      title: Microsoft Power BI (Computer file)
  subject:
    topic: Dashboards (Management information systems)
  subject:
    topic: Business intelligence
    topic: Computer programs
  subject:
    topic: Information visualization
    topic: Computer programs
  subject:
    topic: Visual analytics
  subject:
    topic: Dashboards (Management information systems)
  subject:
    topic: Information visualization
    topic: Computer programs
  subject:
    topic: Visual analytics
  classification: HD30.213
  classification: 658.4/038011
  related item:
    identifier: (OCoLC)1346537507
  identifier: 9781484289952
  identifier: 1484289951
  identifier: 9781484289945
  identifier: 1484289943
  identifier: 9781484289952 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 221129
    record change date: 20260129211000.8
    record identifier: in00004673245
    language of cataloging:
      language term: eng