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    Overview

    In this Amazon Web Services Training Course, you will learn about cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform. You will learn how to use Amazon EMR to process data using the broad ecosystem of Apache Hadoop tools like Hive and Hue. Additionally, you will learn how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

    • Individuals responsible for designing and implementing big data solutions, such as solutions architects and system operator administrators
    • Data scientists and data analysts interested in learning about big data solutions on AWS
    • Familiarity with big data technologies, including Apache Hadoop and HDFS
    • Knowledge of big data technologies such as Pig, Hive, and MapReduce is helpful but not required
    • Working knowledge of core AWS services and public cloud implementation
    • Students should complete the AWS Essentials Amazon Web Services Training Course or have equivalent experience
    • Basic understanding of data warehousing, relational database systems, and database design

    Description

    1. Overview of Big Data

    2. Data Ingestion, Transfer, and Compression

    3. AWS Data Storage Options

    4. Using DynamoDB with Amazon EMR

    5. Using Kinesis for Near Real-Time Big Data Processing

    6. Introduction to Apache Hadoop and Amazon EMR

    7. Using Amazon Elastic MapReduce

    8. The Hadoop Ecosystem

    9. Using Hive for Advertising Analytics

    10. Using Streaming for Life Sciences Analytics

    11. Using Hue with Amazon EMR

    12. Running Pig Scripts with Hue on Amazon EMR

    13. Spark on Amazon EMR

    14. Running Spark and Spark SQL Interactively on Amazon EMR

    15. Using Spark and Spark SQL for In-Memory Analytics

    16. Managing Amazon EMR Costs

    17. Securing your Amazon EMR Deployments

    18. Data Warehouses and Columnar Datastores

    19. Introduction to Amazon Redshift

    20. Optimizing Your Amazon Redshift Environment

    21. The Big Data Ecosystem on AWS

    22. Visualizing and Orchestrating Big Data

    23. Using Tibco Spotfire to Visualize Big Data

     

    Note: This is an emerging technology course. Course outline is subject to change as needed.

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