Data Engineering Getting Started

Data Engineering    |    Intermediate
  • 13 videos | 45m 26s
  • Includes Assessment
  • Earns a Badge
Rating 4.0 of 383 users Rating 4.0 of 383 users (383)
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

  • 1m 23s
  • 5m 38s
    Upon completion of this video, you will be able to describe distributed systems from a data perspective. FREE ACCESS
  • Locked
    3.  Batch vs. In-Memory Processing
    2m 42s
    During this video, you will learn how to identify the differences between batch and in-memory processing. FREE ACCESS
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    4.  NoSQL Stores
    3m 28s
    After completing this video, you will be able to describe NoSQL stores and how to use them. FREE ACCESS
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    5.  Tools for Data Management
    2m 46s
    In this video, you will identify different tools available for managing data. FREE ACCESS
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    6.  What is ETL?
    2m 38s
    Upon completion of this video, you will be able to describe the ETL process and different tools that are available. FREE ACCESS
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    7.  ETL with Talend Open Studio
    5m 52s
    In this video, you will use Talend Open Studio to apply the ETL process. FREE ACCESS
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    8.  Data Modeling
    4m 34s
    After completing this video, you will be able to describe and create a data model. FREE ACCESS
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    9.  AI and Machine Learning
    3m 26s
    After completing this video, you will be able to describe the hierarchy of needs when working with AI and machine learning. FREE ACCESS
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    10.  Data Partitioning
    2m 51s
    Upon completion of this video, you will be able to describe and create a partitioned data set. FREE ACCESS
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    11.  Data Engineering
    4m 3s
    During this video, you will learn how to identify best practices for data engineering. FREE ACCESS
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    12.  Data Reporting
    2m 25s
    Upon completion of this video, you will be able to describe data reporting tools. FREE ACCESS
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    13.  Exercise: Create a Data Model
    3m 41s
    In this video, you will learn how to create a data model. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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