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AWS Big Data

Russ Thomas, Ivan Mushketyk, Aaron Medacco, Reza Salehi, Jordan Yankovich, Andru Estes, Matthew Alexander, Chris Blackden, Kim Schmidt, and Andrew Brust

Processing big data jobs is a common use of cloud resources mainly because of the sheer computing power needed. AWS has created several services that enable you to use big data effectively for your projects. This path will teach you the basics of big data on AWS.

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Processing big data jobs is a common use of cloud resources mainly because of the sheer computing power needed. AWS has created several services that enable you to use big data effectively for your projects. This path will teach you the basics of big data on AWS.

What You'll Learn

  • AWS Athena
  • S3 Storage
  • DynamoDB
  • Redshift Data Warehouse
  • Kinesis
  • Elasticsearch
  • AWS Elastic MapReduce
    • Enroll now

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    What's inside

    Eight courses

    Getting Started with AWS Athena

    (2 hours)
    AWS Athena is a serverless technology that enables users to query S3 data interactively. This course teaches you everything you need to use Athena, including access configuration, schema definition, querying, and performance and cost optimization.
    View more details for this course

    Implementing Amazon S3 Storage on AWS

    (3 hours)
    Learn to leverage Amazon AWS S3 Services. Storing and retrieving objects, security, auditing, transfer acceleration, versioning, S3 Glacier, and life-cycle rules are covered.
    View more details for this course

    Building Your First Amazon Redshift Data Warehouse

    (2 hours)
    Amazon Redshift is a low-cost cloud data platform that can scale from gigabytes to petabytes on a high performance column-oriented SQL engine. Join data pro Russ Thomas on a demo-heavy dive into Redshift and build your first data warehouse on AWS.
    View more details for this course

    AWS Big Data in Production

    (1 hours)
    The amount of data in business continues to grow exponentially. This course teaches you how to use AWS tools to create the necessary support structure for handling big data now and in the future.
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    Serverless Analytics on AWS

    (2 hours)
    AWS Glue and Amazon Athena have transformed the way big data workflows are built in the day of AI and ML. Learn how to build for now and the future, how to future-proof your data, and know the significance of what you’ll learn can't be overstated.
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    Big Data on AWS: The Big Picture

    (1 hours)
    In this course, you'll gain an overview of Amazon's most important big data services, then drill down to cover each one. You'll learn about their capabilities and see demos.
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    Handling and Analyzing Data with AWS Elastic MapReduce

    (2 hours)
    In this course, you will learn how to use AWS Elastic MapReduce to perform data analyzation. You'll explore configuring AWS EMR and Hadoop, process, move, and query data using big data frameworks, and stream and analyze data using Apache products and MLlib.
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    Building an Elasticsearch Cluster with Amazon Elasticsearch Service on AWS

    (1 hours)
    This course introduces AWS Elasticsearch, a lightning-fast real-time analytics and search engine. You'll learn to upload, index, and search data using the service in AWS. You'll also discover how Kibana can be used to visualize large datasets in Elasticsearch. Finally, you'll learn how to create a fully functional search application powered by Elasticsearch and related AWS services.
    View more details for this course

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    Time
    21 hours
    Via
    Pluralsight
    Institution
    Instructors
    Russ Thomas
    Ivan Mushketyk
    Aaron Medacco
    Reza Salehi
    Jordan Yankovich
    Andru Estes
    Matthew Alexander
    Chris Blackden
    Kim Schmidt
    Andrew Brust
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