757-216-3656 | Monday–Friday 8:30 AM – 4:30 PM ET | info@itdojo.com
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Course Duration

1 Day

Audience

Employees of federal, state and local governments; and businesses working with the government.

Prerequisites

Students with a minimum one-year experience managing data warehouses will benefit from this course.

Course Description

This course covers designing and operating a cloud data warehouse using Amazon Redshift. Students learn how to load, query, and optimize data in Redshift, configure clusters, manage security, and integrate Redshift with other AWS analytics services for enterprise-scale reporting and analysis.

Learning Objectives

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a data warehouse 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

Course Outline

  • Module A: Overview of Data Analytics and the Data Pipeline
  • Module 1: Using Amazon Redshift in the Data Analytics Pipeline
  • Module 2: Introduction to Amazon Redshift
  • Module 3: Ingestion and Storage
  • Module 4: Processing and Optimizing Data
  • Module 5: Security and Monitoring of Amazon Redshift Clusters
  • Module 6: Designing Data Warehouse Analytics Solutions
  • Module B: Developing Modern Data Architectures on AWS

Frequently Asked Questions

What does the Building Data Analytics Solutions using Amazon Redshift course cover?

This course covers Building Data Analytics Solutions using Amazon Redshift training and best practices. IT Dojo delivers it as live instructor-led training with an emphasis on practical skills for government and DoD professionals.

How long is IT Dojo's Building Data Analytics Solutions using Amazon Redshift training?

IT Dojo's Building Data Analytics Solutions using Amazon Redshift training is 1 Day. It is available as live remote online instruction or on-site at your facility. All sessions are instructor-led with small class sizes to ensure individual attention.

Is this course available as live remote online training?

Yes. IT Dojo offers Building Data Analytics Solutions using Amazon Redshift as live remote online training. A certified instructor leads the session in real time. Students interact via chat or microphone. Classes are kept small (typically no more than 16 students) to ensure engagement. On-site delivery at your government facility or contractor location is also available.

What prerequisites are recommended before this course?

Students with a minimum one-year experience managing data warehouses will benefit from this course.

Does IT Dojo offer this training on-site at government or DoD facilities?

Yes. IT Dojo delivers Building Data Analytics Solutions using Amazon Redshift on-site at government agencies, DoD commands, military installations, and contractor facilities. On-site training is ideal for teams of four or more and can be customized to your organization's specific environment and mission requirements. Contact IT Dojo to schedule.

How do I register for this course?

IT Dojo training is employer sponsored. Your organization registers and pays for seats. To schedule Building Data Analytics Solutions using Amazon Redshift for your team, contact IT Dojo via the Request Training form or call 757-216-3656. IT Dojo will work with your contracting officer, training coordinator, or program office to set up the course.

Get More Information

We work with Government Agencies, Military, government contractors, and corporate clients. As much as we would love to, our business model does not include working with the general public.