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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.

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

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:

Classroom Training

Duration 3 days

Online Training

Duration 3 days

Price
  • United States: US$ 2,025
 
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This is an Instructor-Led Classroom course
This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.
United States

Currently there are no training dates scheduled for this course.  You can schedule a private, onsite training session or request a public date by emailing info@fastlaneus.com.

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
May 11-13, 2020 Berlin Enroll
Aug 24-26, 2020 Munich Enroll
Nov 23-25, 2020 Frankfurt Enroll
Bulgaria
Sep 18-20, 2019 This is a FLEX event Sofia Course language: English Enroll
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Nov 25-27, 2019 This is a FLEX event Zagreb Course language: English Enroll
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Italy
Oct 14-16, 2019 Rome Enroll
Nov 25-27, 2019 Milan Enroll
United Kingdom
Feb 17-19, 2020 This is a FLEX event London, City Enroll
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Jun 29-Jul 1, 2020 This is a FLEX event London, City Enroll
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Sep 14-16, 2020 This is a FLEX event London, City Enroll
Online Training Time zone: Europe/London Enroll
Nov 23-25, 2020 This is a FLEX event London, City Enroll
Online Training Time zone: Europe/London Enroll