AWS Certified Machine Learning: Data Movement

AWS    |    Intermediate
  • 14 videos | 34m 24s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 43 users Rating 4.4 of 43 users (43)
As the amount of data being collected has exploded, it has become crucial for businesses to rapidly access, transform, and analyze data. From the traditional batch processing to the ever-evolving real-time data analytics, AWS has various tools to handle large volumes of data and perform real-time analytics to ensure high-service uptimes and personalize recommendations. Explore various Amazon tools like AWS Glue, AWS Data Catalog, and AWS Kinesis using this course. These tools are commonly used for data movement. This course will also help you understand how these processes function on the AWS platform and familiarize you with the data movement workflows. Data movement and processing are at the core of any data analysis, and after completing this course, you'll be familiar with multiple tools and approaches that can be used to conveniently transform raw data, combine databases, and stream data, Further, you'll be able to prepare for the AWS Certified Machine Learning - Specialty certification.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe how aws glue works and list its benefits
    Specify the capabilities of aws etl pipelines
    Recognize aws glue's functionality
    Define data streaming and list its use cases and benefits
    Compare the differences between traditional batch processing and evolving stream processing
    Describe the functionality of aws kinesis and outline its features and workflows
  • Describe the capabilities of working with aws kinesis
    Specify how to work with video streams in aws kinesis
    Specify how to work with data streams in aws kinesis
    Describe how data firehouse functions in aws kinesis
    Describe how to use aws kinesis for data analytics tasks, such as real-time alerts and actions
    Outline the functionalities of aws kinesis data stream
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 19s
  • 2m 31s
    Upon completion of this video, you will be able to describe how AWS Glue works and list its benefits. FREE ACCESS
  • Locked
    3.  AWS Glue Extract, Transform, and Load Pipelines
    2m 39s
    During this video, you will learn how to specify the capabilities of AWS ETL pipelines. FREE ACCESS
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    4.  Working with Amazon Glue
    7m 36s
    Find out how to recognize the functionality of AWS Glue. FREE ACCESS
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    5.  Applications and Benefits of Data Streaming
    2m 20s
    Learn how to define data streaming and list its use cases and benefits. FREE ACCESS
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    6.  Stream Processing vs. Batch Processing
    1m 50s
    In this video, you will learn how to compare the differences between traditional batch processing and stream processing. FREE ACCESS
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    7.  Amazon Kinesis: Benefits and Use Cases
    1m 18s
    During this video, you will discover the functionality of AWS Kinesis and outline its features and workflows. FREE ACCESS
  • Locked
    8.  AWS Kinesis: Capabilities
    1m 57s
    In this video, you will learn how to describe the capabilities of working with AWS Kinesis. FREE ACCESS
  • Locked
    9.  AWS Kinesis: Video Streams
    1m 51s
    Discover how to specify how to work with video streams in AWS Kinesis. FREE ACCESS
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    10.  AWS Kinesis: Data Streams
    1m 8s
    In this video, you will learn how to work with data streams in AWS Kinesis. FREE ACCESS
  • Locked
    11.  AWS Kinesis: Data Firehouse
    1m 49s
    After completing this video, you will be able to describe how the data firehouse functions in AWS Kinesis. FREE ACCESS
  • Locked
    12.  AWS Kinesis: Data Analytics
    1m 24s
    In this video, find out how to describe how to use AWS Kinesis for data analytics tasks, such as real-time alerts and actions. FREE ACCESS
  • Locked
    13.  Working with AWS Kinesis
    6m 5s
    Upon completion of this video, you will be able to outline the functionality of AWS Kinesis data stream. FREE ACCESS
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    14.  Course Summary
    38s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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