- Course
Handling and Analyzing Data with AWS Elastic MapReduce
In this course, you are going to learn how to utilize today's most popular big data tools and ML frameworks to process and analyze data within AWS pipelines.
Intermediate
- Course
Handling and Analyzing Data with AWS Elastic MapReduce
In this course, you are going to learn how to utilize today's most popular big data tools and ML frameworks to process and analyze data within AWS pipelines.
Intermediate
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This course is included in the libraries shown below:
- Cloud
What you'll learn
A lot of people hear about big data analyzation, but how can you use it for your use cases? In this course, Handling and Analyzing Data with AWS Elastic MapReduce, you’ll learn foundational knowledge and gain the ability to use AWS Elastic MapReduce to perform data analyzation. First, you’ll explore configuring AWS EMR and Hadoop. Next, you’ll discover how to process, move, and query data using big data frameworks. Finally, you’ll learn how to stream and analyze data using Apache products and MLlib. When you’re finished with this course, you’ll have the skills and knowledge of using AWS EMR needed to handle and analyze your own big data datasets.
Handling and Analyzing Data with AWS Elastic MapReduce
Intermediate
Table of contents
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Module Intro | 1m 56s
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What Is Emr? | 3m 48s
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Creating an EMR Cluster | 11m 13s
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Securing EMR Access | 2m 58s
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Submitting an EMR Job | 7m 15s
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What Is EMRFS? | 2m 1s
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Allowing Access to EMRFS Data | 2m 47s
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Outputting Encrypted EMRFS Data | 5m 58s
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Submitting Steps via the AWS CLI | 8m 37s
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Module Summary | 2m 6s
Andru is a technical evangelist who loves to learn, implement and teach the newest technologies, especially anything related to cloud and virtualization.