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Handling and Analyzing Data with AWS Elastic MapReduce

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Andru Estes

2:18:46

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  • 01 - Course Overview.mp4
    01:58
  • 02 - Module Intro.mp4
    01:56
  • 03 - What Is Emr.mp4
    03:48
  • 04 - Creating an EMR Cluster.mp4
    11:13
  • 05 - Securing EMR Access.mp4
    02:58
  • 06 - Submitting an EMR Job.mp4
    07:15
  • 07 - What Is EMRFS.mp4
    02:01
  • 08 - Allowing Access to EMRFS Data.mp4
    02:47
  • 09 - Outputting Encrypted EMRFS Data.mp4
    05:58
  • 10 - Submitting Steps via the AWS CLI.mp4
    08:37
  • 11 - Module Summary.mp4
    02:06
  • 12 - Module Overview.mp4
    00:58
  • 13 - Apache Hive and EMR Intro.mp4
    01:00
  • 14 - Connecting EMR to DynamoDB Overview.mp4
    02:25
  • 15 - DynamoDB Demo Intro.mp4
    01:21
  • 16 - Exporting DynamoDB Data - Part 1.mp4
    05:03
  • 17 - Exporting DynamoDB Data - Part 2.mp4
    08:03
  • 18 - Looking at EMR and Redshift.mp4
    02:22
  • 19 - Demo - Redshift and EMR - Part 1.mp4
    06:42
  • 20 - Demo - Redshift and EMR - Part 2.mp4
    07:44
  • 21 - HBase and EMR Overview.mp4
    02:20
  • 22 - Configure and Using HBase on EMR.mp4
    05:28
  • 23 - Taking a Look at PrestoDB.mp4
    01:59
  • 24 - Demo - Presto with EMR and S3.mp4
    07:36
  • 25 - Module Summary.mp4
    01:19
  • 26 - Module Overview.mp4
    01:18
  • 27 - Get to Know Apache Flink.mp4
    01:47
  • 28 - Demo - Apache Flink.mp4
    08:42
  • 29 - Apache Spark and EMR Overview.mp4
    02:21
  • 30 - Demo - Apache Spark and EMR.mp4
    06:44
  • 31 - Module Summary.mp4
    00:54
  • 32 - Module Overview.mp4
    00:34
  • 33 - What Is MLlib.mp4
    01:55
  • 34 - EMR with Apache Spark and MLlib.mp4
    07:38
  • 35 - Module Summary.mp4
    00:48
  • 36 - Course Summary.mp4
    01:08
  • Description


    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.

    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.

    More details


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    Andru is an experienced architect and engineer who has had many years of hands on experience with numerous cloud and virtualization technologies. Learning the newest technologies is what really drives him, and it is icing on the cake that he has the ability to teach others how to use what he has learned. Teaching the skill sets he has acquired can have lasting impacts on students, and that to him is amazing.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 36
    • duration 2:18:46
    • level average
    • Release Date 2023/10/11