Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
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.
Provider Information
1992 Lewis Turner Blvd, Suite 131
Fort Walton Beach, FL 32547
Course Overview
Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.
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
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.