Course details

Data Engineering Fundamentals

Data Engineering Fundamentals


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Data engineering is the area of data science that focuses on practical applications of data collection and analysis. In this course, you will explore distributed systems, batch vs. in-memory processing, NoSQL uses, and the various tools available for data management/big data and the ETL process.



Expected Duration (hours)
0.8

Lesson Objectives

Data Engineering Fundamentals

  • describe distributed systems from a data perspective
  • identify the differences between batch and in-memory processing
  • describe NoSQL stores and how they are used
  • identify different tools available for data management
  • describe the ETL process and different tools available
  • use Talend Open Studio to showcase the ETL concept
  • describe and create a data model
  • describe the hierarchy of needs when working with AI and machine learning
  • describe and create a data partition
  • identify data engineering best practices
  • describe data reporting tools
  • create a data model
  • Course Number:
    it_dsdefddj_01_enus

    Expertise Level
    Intermediate