Summer-Ready Savings: Find the Training Course You Need at a Price You'll Love

closeClose

Data Warehousing on AWS

  • Tuition USD $2,025 GSA  $1,670.03
  • Reviews star_rate star_rate star_rate star_rate star_half 334 Ratings
  • Course Code AWS-DATA-WH
  • Duration 3 days
  • Available Formats Classroom, Virtual

AWS Technical Skills Assessment
Take this skills assessment to see if you have the required knowledge to skip AWS Technical Essentials (AWS-T-ESS), the first course in the AWS technical training path.

Get Started

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data.

Skills Gained

This course teaches you how to:

  • Discuss the core concepts of data warehousing.
  • Evaluate the relationship between Amazon Redshift and other big data systems.
  • Evaluate use cases for data warehousing workloads and review case studies that demonstrate implementation of AWS data and analytic services as part of a data warehousing solution.
  • Choose an appropriate Amazon Redshift node type and size for your data needs.
  • Discuss security features as they pertain to Amazon Redshift, such as encryption, IAM permissions, and database permissions.
  • Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud.
  • Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3, to contribute to the data warehousing solution.
  • Evaluate approaches and methodologies for designing data warehouses.
  • Identify data sources and assess requirements that affect the data warehouse design.
  • Design the data warehouse to make effective use of compression, data distribution, and sort methods.
  • Load and unload data and perform data maintenance tasks.
  • Write queries and evaluate query plans to optimize query performance.
  • Configure the database to allocate resources such as memory to query queues and define criteria to route certain types of queries to your configured query queues for improved processing.
  • Use features and services, such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS), to audit, monitor, and receive event notifications about activities in the data warehouse.
  • Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters.
  • Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data.

Who Can Benefit

  • Database architects
  • Database administrators
  • Database developers
  • Data analysts and scientists

Prerequisites

  • Courses taken: AWS Technical Essentials (or equivalent experience with AWS)
  • Familiarity with relational databases and database design concepts

Course Details

Day 1

  • Introduction to Data Warehousing
  • Introduction to Amazon Redshift
  • Launching Clusters

Day 2

  • Designing the Database Schema
  • Identifying Data Sources
  • Loading Data

Day 3

  • Writing Queries and Tuning Performance
  • Amazon Redshift Spectrum
  • Maintaining Clusters
  • Analyzing and Visualizing Data

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Very educational and informative. Instructor was very Interactive so I had great learning. Presentation is very good. Venue is very convenient.

The presenter was knowledgeable and professional. The duration of the course, the pace and venue was suitable also

A must take course if you want to be an AWS cloud architect. It touches almost all the essential services in AWS

Had great paid experiences, the free experience was not a waste of time, it provided the overview AWS that I needed to get started.

Attended a Power BI class in McLean with this company. The instructor (Mike Staves) was very good and attentive to the groups' learning needs. The facility was very good and the staff was more than accommodating.

7 options found

undo
  • Aug 4, 2020 Aug 6, 2020 (3 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM PDT
    Enroll
    Enroll
  • Sep 8, 2020 Sep 10, 2020 (3 days)
    Location
    MVP King of Prussia, PA
    Language
    English
    Time
    9:00AM 5:00PM EDT
    Enroll
    Enroll
  • Sep 8, 2020 Sep 10, 2020 (3 days)
    Location
    MVP Toronto, ON
    Language
    English
    Time
    9:00AM 5:00PM EDT
    Enroll
    Enroll
  • Sep 8, 2020 Sep 10, 2020 (3 days)
    Location
    McLean, VA
    Language
    English
    Time
    9:00AM 5:00PM EDT
    Enroll
    Enroll
  • Sep 8, 2020 Sep 10, 2020 (3 days)
    Location
    MVP Edison, NJ
    Language
    English
    Time
    9:00AM 5:00PM EDT
    Enroll
    Enroll
  • Sep 8, 2020 Sep 10, 2020 (3 days)
    Location
    MVP Ottawa, ON
    Language
    English
    Time
    9:00AM 5:00PM EDT
    Enroll
    Enroll
  • Sep 8, 2020 Sep 10, 2020 (3 days)
    Location
    iMVP
    Language
    English
    Time
    9:00AM 5:00PM EDT
    Enroll
    Enroll
Contact Us 1-800-803-3948
Contact Us Live Chat
FAQ Get immediate answers to our most frequently asked qestions. View FAQs arrow_forward