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Data Warehousing on AWS Course

Course Duration: 3 days

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Course Duration: 3 days

From £2,095.00 +Vat
View dates and book

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Course Duration: 3 days

From +Vat
View dates and book

Enquire Now

Course Overview

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.

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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. 

Who is it for?

The course is aimed at: 

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

Entry Requirements

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

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

The Exam

There is no exam for this course 

Course Objectives

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. 

Syllabus – Key points

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 

  • Reviewing Data Warehousing Approaches 
  • Identifying Data Sources and Requirements 
  • Designing the Data Warehouse 
  • Loading Data into the Data Warehouse 


Day 3 

  • Writing Queries and Tuning Performance 
  • Maintaining the Data Warehouse 
  • Analyzing and Visualizing Data 
  • Course Summary 


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Frequently asked questions

A Pearson VUE exam voucher enables you to book and sit your exam at your local Pearson VUE testing centre at a time and date convenient to you.  Pearson VUE centres are worldwide, and you will be able to choose the closest testing centre to you. You then go along to the test centre with your photo ID at the specified date and time and you will then take an electronic exam. Your exam voucher will have an expiration date and your exam must be sat before this date as these vouchers cannot be extended.