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

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

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

Your Location

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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Data Warehousing on AWS

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

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Data Warehousing on AWS

Upcoming Classes

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

Questions?

On-Site/Private Training

Let us bring the learning to your team at your location or in an interactive virtual classroom!Choose from more than 50 courses.

Combine World-Class Training and

Certification with a Conference

Maximize Your Learning Potential

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Let us bring the learning to your team at your location or in an interactive virtual classroom!
Choose from more than 50 courses.