Data Warehousing on AWS Training

Live Online & Classroom Enterprise Certification Training

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.

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What is Data Warehousing on AWS Certification Training about?

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift. This course demonstrates how to ingest, store, and transform data in the data warehouse. Topics covered include: the purpose of Amazon Redshift, how Amazon Redshift addresses business and technical challenges, features and capabilities of Amazon Redshift, designing a Data Warehousing Solution on AWS by applying best practices based on the Well-Architected Framework, integration with AWS and non-AWS products and services, performance tuning, orchestration, and securing and monitoring Amazon Redshift.

What are the objectives of Data Warehousing on AWS Certification Training ?

At the end of this course, you will be able to:

Discuss the core concepts of data warehousing.
Discuss 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.
Evaluate approaches and methodologies for designing data warehouses.
Identify data sources and determine requirements for accessing the data.
Architect the data warehouse.
Use important commands, such as COPY, UNLOAD, and VACUUM, to manage the data in 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 features and services, such as Amazon Redshift database auditing, Amazon CloudWatch, Amazon CloudTrail, and Amazon Simple Notification Service (Amazon SNS), to monitor and audit the data warehouse.
Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse.

Who is Data Warehousing on AWS Certification Training for?

This course is intended for:

Database architects
Database administrators
Database developers
Data analysts and scientists

What are the prerequisites for Data Warehousing on AWS Certification Training?

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

Available Training Modes

Live Online Training

Classroom Training

3 Days

Course Outline Expand All

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Day 1

Course Introduction

Introduction to Data Warehousing

Introduction to Amazon Redshift

Understanding Amazon Redshift Components and Resources

Launching an Amazon Redshift Cluster

Day 2

Choosing a Data Warehousing Approach

Identifying Data Sources and Requirements

Architecting the Data Warehouse

Loading Data into the Data Warehouse

Day 3

Optimizing Queries and Tuning Performance

Monitoring and Auditing the Data Warehouse

Maintaining the Data Warehouse

Analyzing and Visualizing Data

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Who is the instructor for this training?

The trainer for this Amazon Web Service Training is certified Instructor with extensive domain experience, including years of experience training & mentoring professionals in the industry.

Data Warehousing on AWS Certification Training - Certification & Exam

SpringPeople is the Authorized Training Partner of Amazon Web Services
The training fees is exclusive of exam cost.
For any queries; feel free to reach us at aws@springpeople.com

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