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Data Warehousing on AWS (DWAWS)

 

Course Overview

In this course, you will learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. We will demonstrate 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 Simple Storage Service (Amazon S3). We will also explore how to use business intelligence (BI) tools to perform analysis on your data.

Who should attend

This course is intended for:

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

Prerequisites

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

Course Content

In this course, you will learn how to:

  • Evaluate the relationship between Amazon Redshift and other Big Data systems
  • Evaluate use cases for data warehousing workloads and review real-world 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
  • Understand which security features are appropriate for 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
  • Audit, monitor, and receive event notifications about activities in the data warehouse by using features and services such as Amazon Redshift database audit logging, Amazon CloudTrail, Amazon CloudWatch, and Amazon Simple Notification Service (Amazon SNS)
  • Prepare for operational tasks such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
  • Use a BI application to perform data analysis and visualization tasks against your data
Classroom Training

Duration 3 days

Price (excl. tax)
  • Egypt: US$ 1,480.-
 
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Africa

Fast Lane Flex™ Classroom If you can't find a suitable date, don't forget to check our world-wide FLEX™ training schedule.

Europe
Germany
11/05/2020 - 13/05/2020 Berlin
24/08/2020 - 26/08/2020 Munich
23/11/2020 - 25/11/2020 Frankfurt
Bulgaria
18/09/2019 - 20/09/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/Sofia
Croatia
25/11/2019 - 27/11/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/Zagreb
Italy
14/10/2019 - 16/10/2019 Rome
25/11/2019 - 27/11/2019 Milan
United Kingdom
17/02/2020 - 19/02/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
29/06/2020 - 01/07/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
14/09/2020 - 16/09/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
23/11/2020 - 25/11/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
This is a FLEX course, which is delivered both virtually and in the classroom.