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Data Warehousing on AWS

Designed for database architects, administrators, developers, data analysts and scientists, and more, this course 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.

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Description

Learn how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data. This course teaches you how to:

  • Discuss the core concepts of data warehousing.
  • Discuss the intersection between data warehousing and big data solutions.
  • 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, and Amazon S3, to contribute to the data warehousing solution.
  • Evaluate approaches and methodologies for designing data warehouses.
  • Identify data sources and determine requirements for accessing the data.
  • Architect the data warehouse.
  • Use important commands, such as COPY, UNLOAD, and VACUUM, to manage the data in the data warehouse.
  • Identify performance issues, optimize queries, and tune the database for better performance
  • Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket.
  • Use features and services, such as Amazon Redshift database auditing, Amazon CloudWatch, Amazon CloudTrail, and Amazon Simple Notification Service (Amazon SNS), to monitor and audit the data warehouse.
  • Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse.

Who Should Attend?

This course is intended for:

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

Prerequisites

We recommend that attendees of this course have the following prerequisites:

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

Delivery Method

This course will be delivered through a mix of:

  • Instructor-led Training 
  • Hands on Lab Exercises

Hands-On Activity

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Questions? 929.777.8102 [email protected]
Course Outline

Day 1

  • Course Introduction
  • Introduction to Data Warehousing
  • Introduction to Amazon Redshift
  • Understanding Amazon Redshift Components and Resources
  • Launching an Amazon Redshift Cluster

Day 2

  • Choosing a Data Warehousing Approach
  • Identifying Data Sources and Requirements
  • Architecting the Data Warehouse
  • Loading Data into the Data Warehouse

Day 3

  • Optimizing Queries and Tuning Performance
  • Monitoring and Auditing the Data Warehouse
  • Maintaining the Data Warehouse
  • Analyzing and Visualizing Data
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Don't see a date that fits your schedule? Contact us for scheduling options at 929.777.8102
Download Fact Sheet
Course Duration: 3 Days
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Software Summer School - BOGO - JUNE, JULY, & AUGUST CLASSES

Our Software Summer School is back in session! Buy One, Get One Free on our most popular live virtual training classes offered between June 1 and August 31, 2024. Take both classes yourself or split them with a colleague.

Our practical, hands-on courses can help you and your team in areas like AI, GitHub, agile, leadership, DevOps, software testing, and many more. Live virtual training allows you to dive deep into these topics with instructor-led classes from the comfort of your home or office.

Ready to join? Click the Register button below to register via email.

This is a limited time offer, and certain restrictions do apply. See details below.

OFFER DETAILS: Register for any participating live virtual class being offered in June, July, or August 2024 and get a second class of equal or lesser value free. Classes must take place between June 1 and August 31. Not all classes are valid. Contact Client Support for specifics on which classes are included. Register directly with our Client Support team at 929.777.8102 or through the email above. This offer is only valid for new registrations and cannot be combined with other promotions. Optional certification test vouchers must be purchased one per person who wishes to add them on and are NOT included in the Buy 1 Get 1 Free deal that is limited to just the class.
 
PREQUISITES: Many of our classes require previous skills, experience, or certifications to ensure understanding. Please be sure to check prerequisites for each class to ensure you have the experience necessary to actively participate. Questions? Call us at 929.777.8102.
 
Choose from the following classes.  (✔ = Guaranteed to run dates):
 
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Description

Learn how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data. This course teaches you how to:

  • Discuss the core concepts of data warehousing.
  • Discuss the intersection between data warehousing and big data solutions.
  • 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, and Amazon S3, to contribute to the data warehousing solution.
  • Evaluate approaches and methodologies for designing data warehouses.
  • Identify data sources and determine requirements for accessing the data.
  • Architect the data warehouse.
  • Use important commands, such as COPY, UNLOAD, and VACUUM, to manage the data in the data warehouse.
  • Identify performance issues, optimize queries, and tune the database for better performance
  • Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket.
  • Use features and services, such as Amazon Redshift database auditing, Amazon CloudWatch, Amazon CloudTrail, and Amazon Simple Notification Service (Amazon SNS), to monitor and audit the data warehouse.
  • Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse.

Who Should Attend?

This course is intended for:

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

Prerequisites

We recommend that attendees of this course have the following prerequisites:

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

Delivery Method

This course will be delivered through a mix of:

  • Instructor-led Training 
  • Hands on Lab Exercises

Hands-On Activity

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Questions? 929.777.8102 [email protected]
Course Outline

Day 1

  • Course Introduction
  • Introduction to Data Warehousing
  • Introduction to Amazon Redshift
  • Understanding Amazon Redshift Components and Resources
  • Launching an Amazon Redshift Cluster

Day 2

  • Choosing a Data Warehousing Approach
  • Identifying Data Sources and Requirements
  • Architecting the Data Warehouse
  • Loading Data into the Data Warehouse

Day 3

  • Optimizing Queries and Tuning Performance
  • Monitoring and Auditing the Data Warehouse
  • Maintaining the Data Warehouse
  • Analyzing and Visualizing Data

Bring this course to your team at your site. Contact us to learn more at 929.777.8102.

✓ = Guaranteed to Run
Dates
Mode
Location
Price
Call to Schedule
Anytime
On-Site / Private
Your Location
Your Location
Request a Quote
Contact Us
Download Fact Sheet
Course Duration: 3 Days
Description

Learn how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data. This course teaches you how to:

  • Discuss the core concepts of data warehousing.
  • Discuss the intersection between data warehousing and big data solutions.
  • 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, and Amazon S3, to contribute to the data warehousing solution.
  • Evaluate approaches and methodologies for designing data warehouses.
  • Identify data sources and determine requirements for accessing the data.
  • Architect the data warehouse.
  • Use important commands, such as COPY, UNLOAD, and VACUUM, to manage the data in the data warehouse.
  • Identify performance issues, optimize queries, and tune the database for better performance
  • Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket.
  • Use features and services, such as Amazon Redshift database auditing, Amazon CloudWatch, Amazon CloudTrail, and Amazon Simple Notification Service (Amazon SNS), to monitor and audit the data warehouse.
  • Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse.

Who Should Attend?

This course is intended for:

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

Prerequisites

We recommend that attendees of this course have the following prerequisites:

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

Delivery Method

This course will be delivered through a mix of:

  • Instructor-led Training 
  • Hands on Lab Exercises

Hands-On Activity

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Questions? 929.777.8102 [email protected]
Course Outline

Day 1

  • Course Introduction
  • Introduction to Data Warehousing
  • Introduction to Amazon Redshift
  • Understanding Amazon Redshift Components and Resources
  • Launching an Amazon Redshift Cluster

Day 2

  • Choosing a Data Warehousing Approach
  • Identifying Data Sources and Requirements
  • Architecting the Data Warehouse
  • Loading Data into the Data Warehouse

Day 3

  • Optimizing Queries and Tuning Performance
  • Monitoring and Auditing the Data Warehouse
  • Maintaining the Data Warehouse
  • Analyzing and Visualizing Data

Questions?

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