Data Lake Framework & Design Implementation

Amazon Web Services 2019    |    Intermediate
  • 10 videos | 33m 16s
  • Includes Assessment
  • Earns a Badge
Likes 22 Likes 22
A key component to wrangling data is the data lake framework. In this 9-video Skillsoft Aspire course, discover how to design and implement data lakes in the cloud and on-premises by using standard reference architectures and patterns to help identify the proper data architecture. Learners begin by looking at architectural differences between data lakes and data warehouses, then identifying the features that data lakes provide as part of the enterprise architecture. Learn how to use data lakes to democratize data and look at design principles for data lakes, identifying the design considerations. Explore the architecture of Amazon Web Services (AWS) data lakes and their essential components, then look at implementing data lakes using AWS. You will examine the prominent architectural styles used when implementing data lakes on-premises and on multiple cloud platforms. Next, learners will see the various frameworks that can be used to process data from data lakes. Finally, the concluding exercise compares data lakes and the data warehouse, showing how to specify data lake design patterns, and implement data lakes by using AWS.

WHAT YOU WILL LEARN

  • describe the architectural differences between data lakes and data warehouses
    identify the features data lakes provide as a part of the enterprise architecture
    recognize how to use data lakes to democratize data
    identify the design considerations for data lakes
    describe the architecture of AWS data lakes and their essential components
  • implement data lakes using AWS
    recognize the prominent architectural styles used when implementing data lakes on-premises and on multiple cloud platforms
    list the various frameworks that can be used to process data from data lakes
    compare data lakes and data warehouses, specify data lake design patterns, and implement data lakes using AWS

IN THIS COURSE

  • 2m 12s
  • 3m 16s
    After completing this video, you will be able to describe the architectural differences between data lakes and data warehouses. FREE ACCESS
  • Locked
    3.  Data Lake Selection Criteria
    3m 46s
    In this video, find out how to identify the features data lakes provide as part of the enterprise architecture. FREE ACCESS
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    4.  Data Lake and Data Democratization
    2m 25s
    After completing this video, you will be able to recognize how to use data lakes to make data available to everyone. FREE ACCESS
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    5.  Data Lake Design Principles
    2m 49s
    In this video, you will learn how to identify the design considerations for data lakes. FREE ACCESS
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    6.  AWS Data Lake Architecture
    3m 59s
    After completing this video, you will be able to describe the architecture of AWS data lakes and their essential components. FREE ACCESS
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    7.  Implement AWS Data Store
    4m 23s
    In this video, find out how to implement data lakes using Amazon Web Services. FREE ACCESS
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    8.  Data Lake For On-Premise and Multi-Cloud
    4m 40s
    Upon completion of this video, you will be able to recognize the prominent architectural styles used when implementing data lakes on premises and on multiple cloud platforms. FREE ACCESS
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    9.  Data Processing Frameworks for Data Lake
    4m 5s
    After completing this video, you will be able to list the various frameworks that can be used to process data from data lakes. FREE ACCESS
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    10.  Exercise: Implement AWS Data Store
    1m 42s
    In this video, you will compare data lakes and data warehouses, specify data lake design patterns, and implement data lakes using AWS. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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