Adobe Analytics: Data Workbench Architect

Have Queries? Ask us +91 72592 22234

Course Overview


Adobe Data Workbench Architect training course covers Data Workbench configuration and architecture for personnel who will be responsible for translating their users' analysis needs and reporting requirements into dataset and profile configuration. Participants are presented with a detailed synopsis of the product architecture, instruction on data acquisition, and the configuration of various components of the Data Workbench platform to process and prepare data for analysis and reporting purposes. This course discusses the creation and configuration of dimensions to extend the Data Workbench dataset, while also presenting the key stages of data processing, profile creation and configuration, log source definition, specialized transformations for manipulating and cleansing data, conditions, and the use of data transformation and integration engines.

Course Content


Architecture Overview
Site Data Collection
Building a Profile
Data Input and Processing

  • Log Sources
  • Building Log Decoders

Regular Expressions
Data Processing Fundamentals

  • Fast Input
  • Reprocessing

Transformation Processing Fundamentals

  • Fast Merge
  • Retransforming
  • Extended Dimensions

File Management

  • File Manager
  • Profile Manager

Additional Management Tools

  • Field Viewers
  • Dependency Maps

Additional Topics

  • Conditions
  • Operations
  • Cross Rows

Training Q&A and Wrap-up

Customer Reviews


Thanks to Xpertised and the tutor who walked me through all the topics with Practical exposure which is helping me in my current project.
-Waseem

Course was quite helpful in terms of understanding of concepts and practicality. Its really a very friendly environment to learn. The timing were mutually chosen, as we both are working professional. I am quite satisfied with the course.
-Tanmoy

...more
Share:

For Batch Details
Call us at: +91 7259222234

Not sure? Consult Our Experts

Looking for a Training for

Myself

My Team/Organization

I agree to be contacted over mail or phone

or
Call us at: +91 7259222234