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IT Professional Curricula Internet and Network Technologies Solution Area Cloud Computing AWS Certified Machine Learning

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 â Specialty certification exam.

Asset ID	it_clawsml_07_enus
Course Type	Video Course
Course Category	Internet and Network Technologies Solution Area

Objectives
AWS Certified Machine Learning: Athena, QuickSight, & EMR 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

Objectives

AWS Certified Machine Learning: Athena, QuickSight, & EMR

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