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Programm

  1. Day 1


    1. Course Introduction

    2. Introduction to Data Warehousing

    3. Introduction to Amazon Redshift

    4. Understanding Amazon Redshift Components and Resources

    5. Launching an Amazon Redshift Cluster


  2. Day 2


    1. Reviewing Data Warehousing Approaches

    2. Identifying Data Sources and Requirements

    3. Designing the Data Warehouse

    4. Loading Data into the Data Warehouse


  3. Day 3


    1. Writing Queries and Tuning Performance

    2. Maintaining the Data Warehouse

    3. Analyzing and Visualizing Data

    4. Course Summary



Ziele
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.



.... Course Description
Voraussetzungen
We recommend that attendees of this course have the following prerequisites:

  • Courses taken: AWS Technical Essentials (or equivalent experience with AWS)

  • Familiarity with relational databases and database design concepts