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Data Warehousing on AWS

SS Course: 48237

Course Overview

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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.                                                                  

Scheduled Classes

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09/17/24 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)
11/18/24 - TDV - Virtual-Instructor Led - Virtual-Instructor Led (click to enroll)

What You'll Learn

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Discuss the core concepts of data warehousing, and 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
  • Architect 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 Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse
  • This course teaches you how to:

Outline

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Viewing outline for:
Introduction to Data Warehousing
  • Introduction to Amazon Redshift
  • Launching Clusters
  • Designing the Database Schema
  • Identifying Data Sources
  • Loading Data
  • Writing Queries and Tuning Performance
  • Amazon Redshift Spectrum
  • Maintaining Clusters
  • Analyzing and Visualizing Data

Prerequisites

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

    Who Should Attend

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    Database Architects
    • Database Administrators
    • Database Developers
    • Data Analysts
    • Data Scientists

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