AWS Certified Machine Learning: Athena, QuickSight, & EMR

Amazon Web Services    |    Intermediate
  • 13 videos | 36m 46s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 27 users Rating 4.5 of 27 users (27)
Amazon offers a wide range of services that help enhance AWS workflows, making it much easier to create automated data processing and machine learning pipelines. Use this course to get to grips with some of these services. Explore how Amazon Athena is used for querying data and how Amazon QuickSight integrates with Athena to help decision-makers analyze data and interpret information in an interactive visual environment. Then, get hands-on practice working with both tools. Moving along, learn how Amazon EMR is used to process large amounts of data and investigate its integrations with various Apache frameworks, such as Hadoop and Spark. When you're done, you'll know how to use Amazon services to automate machine learning processes, further preparing you for the AWS Certified Machine Learning - Specialty certification exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe how amazon athena works and its use cases
    Describe how tables, databases, and data catalogs work in amazon athena and how to query data from other aws services in athena
    Work with amazon athena to create databases and tables and run queries
    Describe amazon quicksight and its use cases
    Define the main amazon quicksight processes and terms
    Work with amazon quicksight to create a simple multi-visual analysis and a dashboard
  • Work with data, analyses, visuals, ml insights, and dashboards in amazon quicksight
    Outline how amazon elastic mapreduce (emr) works and list its benefits
    Describe the use cases for amazon elastic mapreduce (emr), recognize when to deploy it, and compare emr and glue
    Outline how the apache hadoop open-source framework works with amazon elastic mapreduce (emr) and its real-world use cases
    Describe how the apache spark open-source framework works with amazon elastic mapreduce (emr) and its real-world use cases
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 18s
  • 2m 49s
    Learn how to describe how Amazon Athena works and its use cases. FREE ACCESS
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    3.  Tables, Databases, and Data Catalogs in Athena
    1m 56s
    In this video, you will learn how to describe how tables, databases, and data catalogs work in Amazon Athena and how to query data from other AWS services in Athena. FREE ACCESS
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    4.  Working with Athena to Create Tables and Run Queries
    7m 16s
    During this video, you will discover how to work with Amazon Athena to create databases and tables and run queries. FREE ACCESS
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    5.  What Is Amazon QuickSight?
    1m 50s
    In this video, you will learn how to describe Amazon QuickSight and its use cases. FREE ACCESS
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    6.  Amazon QuickSight Terminology
    1m 34s
    Discover how to define the main processes and terms in Amazon QuickSight. FREE ACCESS
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    7.  Creating Multi-visual Analyses in Amazon QuickSight
    5m 57s
    In this video, you will work with Amazon QuickSight to create a simple analysis with multiple visuals and a dashboard. FREE ACCESS
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    8.  Working with Amazon QuickSight for Multiple ML Tasks
    5m 43s
    After completing this video, you will be able to work with data, analyses, visuals, ML insights, and dashboards in Amazon QuickSight. FREE ACCESS
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    9.  Data Processing: Amazon Elastic MapReduce (EMR)
    2m 15s
    In this video, find out how Amazon Elastic MapReduce (EMR) works and list its benefits. FREE ACCESS
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    10.  Amazon Elastic MapReduce (EMR) Use Cases
    2m 6s
    Upon completion of this video, you will be able to describe the use cases for Amazon Elastic MapReduce (EMR), recognize when to deploy it, and compare EMR and Glue. FREE ACCESS
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    11.  Amazon Elastic MapReduce (EMR) and Apache Hadoop
    2m 8s
    During this video, you will learn how the Apache Hadoop open-source framework works with Amazon Elastic MapReduce (EMR) and its real-world use cases. FREE ACCESS
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    12.  Amazon Elastic MapReduce (EMR) and Apache Spark
    1m 20s
    To find out how the Apache Spark open-source framework works with Amazon Elastic MapReduce (EMR), and to learn about its real-world use cases, follow the link below. FREE ACCESS
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    13.  Course Summary
    34s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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