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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, Aug.27.2024 – Aug.29.2024 (3 days), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Nov.13.2024 – Nov.15.2024 (3 days), 09:00 AM - 05:00 PM US Eastern
SCHEDULED, Jul.08.2025 - Jul.10.2025 ( 3 days), 09:00 AM - 05:00 PM US Eastern
$2,025.00
$2,025.00
$2,025.00
SKU: AWS-DATA-WH Categories: , ,

Description

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.

Overview

In this course, you’ll learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. The 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 Simple Storage Service (Amazon S3). You’ll also explore how to use business intelligence (BI) tools to perform analysis on your data.

Audience

Who Can Benefit

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

Suggested Prerequisites

Prerequisites

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

Topics

Course Details

  • 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
  • And much more

Description

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.

Overview

In this course, you’ll learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. The 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 Simple Storage Service (Amazon S3). You’ll also explore how to use business intelligence (BI) tools to perform analysis on your data.

Audience

Who Can Benefit

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

Suggested Prerequisites

Prerequisites

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

Topics

Course Details

  • 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
  • And much more

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