Data Engineering Getting Started

Data Engineering
  • 13 Videos | 50m 56s
  • Includes Assessment
  • Earns a Badge
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Data engineering is the area of data science that focuses on practical applications of data collection and analysis. This 12-video course helps learners explore distributed systems, batch versus in-memory processing, NoSQL uses, and the various tools available for data management/big data and the ETL (extract, transform, and load) process. Begin with an overview of distributed systems from a data perspective. Then look at differences between batch and in-memory processing. Learn about NoSQL stores and their use, and tools available for data management. Explore ETL—what it is, the process, and the different tools available. Learn to use Talend Open Studio to showcase the ETL concept. Next, examine data modeling and creating a data model in Talend Open Studio. Explore the hierarchy of needs when working with AI and machine learning. In another tutorial, learn how to create a data partition. Then move on to data engineering and best practices, with a look at approaches to building and using data reporting tools. Conclude with an exercise designed to create a data model.

WHAT YOU WILL LEARN

  • 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

IN THIS COURSE

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