Working with Data Mapping, Jobs, and Automation


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
Talend has several tools that make it a powerful, cost-effective suite. Explore data operations, such as data mapping, processing, automation, and job scheduling to simplify data integrations and extract, transform, load (ETL) functions.

Target Audience
Developers, project managers, business intelligence specialists, system architects, analysts, and consultants who would like to work on integration projects using Talend; those who have some knowledge in SQL, XML, Java, File Transfer Protocol (FTP), and are familiar with programming

Prerequisites
None

Expected Duration (hours)
2.3

Lesson Objectives

Working with Data Mapping, Jobs, and Automation

  • start the course
  • identify Talend concepts in mapping data
  • recognize the process of outputting in tMap
  • recognize the process of mapping objects in Talend
  • identify process of filtering mapped data
  • use FTP file operations in Talend
  • recognize the concept of Talend sorting
  • identify various Talend delimiting fields
  • recognize how to work with find and replace in Talend
  • recognize the concept of data aggregation with Talend
  • identify the concepts and differences between normalizing and denormalizing data
  • recognize the concept and use of subjobs
  • identify and work with subjobs
  • identify and work with subjob errors
  • recognize the concept of iterating and looping in Talend
  • use dataflow merging and duplicating techniques with Talend
  • recognize exporting and importing jobs with Talend
  • use job scheduling processes with Talend
  • recognize the various Talend automations
  • recognize the various data transformations and complex processes
  • Course Number:
    df_tadi_a02_it_enus

    Expertise Level
    Beginner