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Data Warehousing on AWS

Cost
$2025 USD
Course Code
AWS-DATA-WH
Duration
3 Days
Format
Live Virtual Class

Course Schedule

Data Warehousing on AWS

$2,025.00

Scheduled, 01-Jun-2022 - 03-Jun-2022, 09:00 AM - 05:00 PM US Pacific
Scheduled, 07-Jun-2022 - 9-Jun-2022, 09:00 AM - 05:00 PM US Eastern
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Data Warehousing on AWS – Scheduled, 01-Jun-2022 - 03-Jun-2022, 09:00 AM - 05:00 PM US Pacific
$2,025.00
Data Warehousing on AWS – Scheduled, 07-Jun-2022 - 9-Jun-2022, 09:00 AM - 05:00 PM US Eastern
$2,025.00
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SKU: AWS-DATA-WH Categories: ,

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.

Audience

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

Suggested Prerequisites

  • Familiarity with relational databases and database design concepts
  • Familiarity with cloud computing concepts

Topics

  • 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

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.

Audience

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

Suggested Prerequisites

  • Familiarity with relational databases and database design concepts
  • Familiarity with cloud computing concepts

Topics

  • 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
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