SAP BusinessObjects Data Quality: Core Concepts

Type product

SAP BusinessObjects Data Quality: Core Concepts

SAP Training
Logo van SAP Training
Opleiderscore: starstarstarstar_halfstar_border 6,5 SAP Training heeft een gemiddelde beoordeling van 6,5 (uit 2 ervaringen)

Tip: meer info over het programma, prijs, en inschrijven? Download de brochure!

Beschrijving

Goals

  • This four-day instructor-led course is designed to give you the ability to quickly build and share business rules across the enterprise through an intuitive user interface and data quality templates.
  • In this course, you will learn data quality concepts, use BusinessObjectsTM Data Quality XI to create projects, examine and practice the concepts of matching and consolidating records, as well as using several transforms to perform operations on data such as cleansing, formatting, sorting and filtering.
  • After completing this course you will be able to apply your knowledge and centralize the discovery, correction, and prevention of data quality issues.

Audience

  • The target audience for th…

Lees de volledige beschrijving

Veelgestelde vragen

Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.

Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: Datakwaliteit / Data Quality, SAP BusinessObjects / Web Intelligence, SAP, Data warehouse en Databases.

Goals

  • This four-day instructor-led course is designed to give you the ability to quickly build and share business rules across the enterprise through an intuitive user interface and data quality templates.
  • In this course, you will learn data quality concepts, use BusinessObjectsTM Data Quality XI to create projects, examine and practice the concepts of matching and consolidating records, as well as using several transforms to perform operations on data such as cleansing, formatting, sorting and filtering.
  • After completing this course you will be able to apply your knowledge and centralize the discovery, correction, and prevention of data quality issues.

Audience

  • The target audience for this course is business users and data managers responsible for data quality functions within organizations.

Prerequisites

Essential
  • * Prerequisite Education:
  • Not applicable for this offering. * Prerequisite Knowledge/Experience:
  • To be successful, you must have working knowledge of:
  • Windows conventions
  • Basic database concepts

Content

  • Understanding Data Quality Concepts
    • Data profiling
    • Parsing, standardizing and cleansing data
    • Enhancing data
  • Introduction to Data Quality XI R2
    • Identifying the components of Data Quality XI R2
  • Using the Project Architect
    • Understanding the Project Architect interface
    • Creating a basic project
    • Using readers and writers
  • Using transforms
    • Using the Address Cleanse transform
    • Using the Formatter transform
    • Using the Filter transform
    • Using the Data Cleanse transform
    • Using the Universal Data Cleanse transform
    • Using the Sorter transform
    • Using the Search and Replace transform
    • Using the Scan and Split transform
    • Using the Copier transform
    • Using the User-Defined transform
    • Using reports
  • Matching and Consolidating Records
    • Understanding break group concepts
    • Understanding match concepts
    • Understanding post-match concepts
    • Tailoring the match process to your data

Notes

  • Additional Education
    • Not applicable for this offering.
  • Applicable Certification
    • This course is not applicable to any Business Objects Certified Professional programs.

Popular tags

No tags submitted for this course yet

Blijf op de hoogte van nieuwe ervaringen

Er zijn nog geen ervaringen.

Deel je ervaring

Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.

Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.

Download gratis en vrijblijvend de informatiebrochure

(optioneel)
(optioneel)
(optioneel)
(optioneel)

Heb je nog vragen?

(optioneel)

Aanmelden voor nieuwsbrief

We slaan je gegevens op om je via e-mail en evt. telefoon verder te helpen.
Meer info vind je in ons privacybeleid.