Data Lakes

Data Lake 2021    |    Intermediate
  • 12 Videos | 1h 18m 39s
  • Includes Assessment
  • Earns a Badge
Data lakes are a useful way of storing all your structured and unstructured data in a single repository. They're widely used in the data industry to quickly retrieve data in raw formats and expose them to data pipelines. Anyone working with data technologies would benefit from appreciating the power and intricacies of data lakes. Use this course to explore the different aspects of data lakes, including their evolution, architecture, and maturity stages. Examine the advantages of governed data lakes. Learn about different data lake platforms. Identify the risks and challenges associated with data lakes and distinguish between a data warehouse and a data lake. Upon completion of this course, you'll fully comprehend why and how data lakes are used.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    define data lakes and describe their evolution from Hadoop
    describe the architecture of a modern data lake
    list and define the key concepts related to data lakes
    list and describe the different maturity stages of data lakes
    describe data swamps and their characteristics
  • list and compare prominent data lake platforms
    list and compare notable data lake platforms
    define a governed data lake and list its advantages
    list and describe the risks and challenges associated with data lakes
    describe the differences between a data lake and a data warehouse
    summarize the key concepts covered in this course

IN THIS COURSE

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