AWS Developer Associate 2022: Analytics Services

Amazon Web Services    |    Intermediate
  • 15 videos | 1h 41m 21s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 48 users Rating 4.5 of 48 users (48)
Once you've collected and stored data in AWS, it's essential to be able to do something with that data. Luckily, Amazon provides analytics services to capture, process, query, and stream from other AWS services, data stores, and databases. In this course, you'll explore how these services work, beginning with the capabilities of Amazon AppFlow, Amazon Athena, Amazon CloudSearch, and Amazon Elasticsearch Service. Then you'll discover Amazon EMR, AWS Glue, AWS Lake, and Amazon Kinesis Data Streams. Finally, you'll practice creating an Amazon Kinesis stream and an Amazon Kinesis Data Analytics application, processing data from an Amazon Kinesis stream, and creating an Amazon Kinesis Data Firehose. This course is part of a collection that prepares you for the DVA-C02: AWS Certified Developer - Associate 2022 certification exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Identify 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
    Recognize what amazon cloudsearch is used for, list its multiple functionalities, and outline how to manage it
    Recognize amazon opensearch, its functionalities, and how to manage it
    Name the features and components of the amazon es and list some considerations for working with it
    List the features, advantages, and architecture of amazon emr and outline how to set it up
    Outline how the aws glue service is used, detailing functionality, concepts, components, and other key considerations
  • Recognize the functionality and components of aws lake formation, how to set it up, and the main security considerations involved
    State 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

  • 1m 5s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 7m 47s
    After completing this video, you will be able to identify what Amazon AppFlow is used for, outline its core features, and summarize setup requirements. FREE ACCESS
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    3.  Amazon Athena
    7m 2s
    Upon completion of this video, you will be able to outline what Amazon Athena is used for and describe some of its core data-related capabilities and components. FREE ACCESS
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    4.  Amazon CloudSearch
    7m 55s
    In this video, we will recognize what Amazon CloudSearch is used for, list its multiple functionalities, and outline how to manage it. FREE ACCESS
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    5.  AWS OpenSearch
    6m 55s
    In this video, recognize Amazon OpenSearch, its functionalities, and how to manage it. FREE ACCESS
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    6.  Amazon Elasticsearch Service (ES)
    7m 29s
    After completing this video, you will be able to name the features and components of the Amazon ES and list some considerations for working with it. FREE ACCESS
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    7.  Amazon Elastic MapReduce (EMR)
    6m 58s
    In this video, we will list the features, advantages, and architecture of Amazon EMR and outline how to set it up. FREE ACCESS
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    8.  AWS Glue
    7m 42s
    Upon completion of this video, you will be able to outline how the AWS Glue service is used, detailing functionality, concepts, components, and other key considerations. FREE ACCESS
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    9.  AWS Lake Formation
    6m 19s
    In this video, recognize the functionality and components of AWS Lake Formation, how to set it up, and the main security considerations involved. FREE ACCESS
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    10.  Amazon Kinesis Data Streams
    7m 27s
    After completing this video, you will be able to state what Amazon Kinesis Data Streams is used for, its advantages, how to work with it, and other considerations. FREE ACCESS
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    11.  Creating an Amazon Kinesis Stream
    7m 13s
    During this video, discover how to configure and create an Amazon Kinesis stream to collect data. FREE ACCESS
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    12.  Aggregating an Amazon Kinesis Stream
    6m 54s
    In this video, find out how to create an Amazon Kinesis Data Analytics application to aggregate sensor data in real time. FREE ACCESS
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    13.  Processing Amazon Kinesis Stream Data
    11m 7s
    During this video, you will learn how to process data from an Amazon Kinesis stream using an AWS Lambda function. FREE ACCESS
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    14.  Delivering an Amazon Kinesis Stream
    8m 37s
    In this video, discover how to create an Amazon Kinesis Data Firehose to deliver data from an Amazon Kinesis stream. FREE ACCESS
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    15.  Course Summary
    51s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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