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Data Warehousing on AWS


3 Days Classroom Session   |  
3 Days Live Online
Classroom Registration
Individual:
$2025.00
Group Rate:
$2025.00
(per registrant, 2 or more)
Live Online Registration
Live Online:
$2025.00
Private Onsite Package

This course can be tailored to your needs for private, onsite delivery at your location.

Request a Private Onsite Price Quote

Professional Credits

IIBA (CDU)

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PMI (PDU)

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Certification
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. 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.

In this course, you will

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.
And More!
Upcoming Dates and Locations
All Live Online times are listed in Eastern Time Guaranteed To Run
Request a quote for private onsite training Request
Feb 19, 2020 – Feb 21, 2020    9:00am – 5:00pm San Francisco, California

ExitCertified
450 Sansome Street
Suite 600
San Francisco, CA 94111
United States

Register
Feb 19, 2020 – Feb 21, 2020    12:00pm – 8:00pm Live Online Register
Mar 17, 2020 – Mar 19, 2020    9:00am – 5:00pm Live Online Register
Mar 17, 2020 – Mar 19, 2020    9:00am – 5:00pm McLean, Virginia

ExitCertified McLean
1760 Old Meadow Rd
Suite 210
McLean, VA 22102
United States

Register
Apr 15, 2020 – Apr 17, 2020    9:00am – 5:00pm San Francisco, California

ExitCertified
450 Sansome Street
Suite 600
San Francisco, CA 94111
United States

Register
Apr 15, 2020 – Apr 17, 2020    12:00pm – 8:00pm Live Online Register
May 12, 2020 – May 14, 2020    9:00am – 5:00pm Live Online Register
May 12, 2020 – May 14, 2020    9:00am – 5:00pm McLean, Virginia

ExitCertified McLean
1760 Old Meadow Rd
Suite 210
McLean, VA 22102
United States

Register
Jun 9, 2020 – Jun 11, 2020    9:00am – 5:00pm San Francisco, California

ExitCertified
450 Sansome Street
Suite 600
San Francisco, CA 94111
United States

Register
Jun 9, 2020 – Jun 11, 2020    12:00pm – 8:00pm Live Online Register
Course Outline

Day 1

  1. Introduction to Data Warehousing
  2. Introduction to Amazon Redshift
  3. Launching Clusters

Day 2

  1. Designing the Database Schema
  2. Identifying Data Sources
  3. Loading Data

Day 3

  1. Writing Queries and Tuning Performance
  2. Amazon Redshift Spectrum
  3. Maintaining Clusters
  4. Analyzing and Visualizing Data
Who should attend
  • Database architects
  • Database administrators
  • Database developers
  • Data analysts and scientists
Pre-Requisites
  • Attended the AWS Technical Essentials course (ECAWSTESS/EC10000) or equivalent experience
  • Familiarity with relational databases and database design concepts
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