AWS Developer Associate 2021: AWS Analytics Services

Amazon Web Services 2021    |    Intermediate
  • 14 Videos | 1h 40m 54s
  • Includes Assessment
  • Earns a Badge
Once you've collected and stored data and files in AWS, it is essential to be able to do something with them. Luckily, Amazon provides analytics services to capture, process, query, and stream from other AWS services, data stores, and databases. Use this course to gain a theoretical comprehension of how these services work. Explore the capabilities of Amazon AppFlow, Amazon Athena, Amazon CloudSearch, Amazon Elasticsearch Service, Amazon EMR, AWS Glue, AWS Lake, and Amazon Kinesis Data Streams. Moving on, practice creating an Amazon Kinesis stream and an Amazon Kinesis Data Analytics application, process data from an Amazon Kinesis stream, and create an Amazon Kinesis Data Firehose. This course is part of a collection that prepares learners for the AWS Certified Developer - Associate 2021 certification exam.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    describe what Amazon AppFlow is used for, outline its core features, and summarize setup requirements
    outline what Amazon Athena is used for and describe some of its core data-related capabilities and components
    describe what Amazon CloudSearch is used for, list its multiple functionalities, and outline how to manage it
    describe the features and components of the Amazon Elasticsearch Service (ES) and list some considerations for working with it
    describe the features, advantages, and architecture of Amazon EMR and outline how to set it up
    describe how the AWS Glue service is used, detailing functionality, concepts, components, and other key considerations
  • describe the functionality and components of AWS Lake Formation, how to set it up, and the main security considerations involved
    describe what Amazon Kinesis Data Streams is used for, its advantages, how to work with it, and other considerations
    configure and create an Amazon Kinesis stream to collect data
    create an Amazon Kinesis Data Analytics application to aggregate sensor data in real time
    process data from an Amazon Kinesis stream using an AWS Lambda function
    create an Amazon Kinesis Data Firehose to deliver data from an Amazon Kinesis stream
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 10s
    UP NEXT
  • Playable
    2. 
    Amazon AppFlow Features and Requirements
    11m 54s
  • Locked
    3. 
    Amazon Athena Uses, Components, and Capabilities
    7m 6s
  • Locked
    4. 
    Amazon CloudSearch Functionality and Management
    8m 44s
  • Locked
    5. 
    Amazon Elasticsearch Service Features and Components
    7m 24s
  • Locked
    6. 
    Amazon EMR Features, Advantages, and Architecture
    7m 57s
  • Locked
    7. 
    AWS Glue Functionality, Concepts, and Components
    7m 55s
  • Locked
    8. 
    AWS Lake Formation Functionality and Components
    6m 3s
  • Locked
    9. 
    Amazon Kinesis Data Streams Activities & Advantages
    6m 57s
  • Locked
    10. 
    Creating an Amazon Kinesis Stream
    8m
  • Locked
    11. 
    Aggregating an Amazon Kinesis Stream
    8m 16s
  • Locked
    12. 
    Processing Stream Data
    11m 26s
  • Locked
    13. 
    Delivering an Amazon Kinesis Stream
    6m 9s
  • Locked
    14. 
    Course Summary
    54s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

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