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AWS: Building Data Analytics Solutions on AWS

In this training you will learn how Amazon EMR integrates with open-source projects such as Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
AWS007
Course Prerequisites

Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.

Training Purpose
Functional Development
Skill Development
Specific Audience
All
Federal Employee
General Public
Delivery Method
Classroom
Online, Instructor-Led
Online, Self-Paced
Course Locations

1992 Lewis Turner Blvd
Suite 131
Fort Walton Beach, FL 32547

1700 North Tampa Street
Tampa, FL 33602

1320 E 9th Ave
Suite 100
Tampa, FL 33605

722 E. 9th Court
Panama City, FL 32401

317 S. 6th Street
Las Vegas, NV 89101

445 Dexter Avenue
Suite 4050
Montgomery, AL 36104

5835 Callaghan Road
Suite 105
San Antonio, TX 78225

560 Warner Robins Street
Warner Robins, GA 31098

3165 Washington Road
Suite D
Augusta, GA 30907

164 NW Promontory
Suite 200
Farmington, UT 84025

6950 Columbia Gateway Dr
Suite 450
Columbia, MD 21046

620 Herndon Pkwy
Herndon, VA 20170

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Learning Objectives

 

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a batch data analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Competency Areas

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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