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Data Warehousing on AWS
Description
Data Warehousing on AWS Introduction
Welcome to our Data Warehousing on AWS course, where you’ll embark on a journey to become proficient in the design and administration of cloud-based data warehousing solutions utilizing Amazon Redshift, AWS’s robust petabyte-scale data warehouse offering. Whether you are a seasoned database architect, an adept administrator, a skilled developer, or a data-savvy analyst, this course is meticulously crafted to furnish you with the knowledge and competencies necessary to harness the full potential of Amazon Redshift.
Our Data Warehousing on AWS course is meticulously structured to furnish you with the most up-to-date principles, tactics, and optimal methodologies for the construction and governance of cloud-centric data warehousing solutions through Amazon Redshift. This cutting-edge technology, provided by AWS, empowers organizations to manage and analyze vast datasets seamlessly.
Throughout the duration of this course, you will delve into the intricacies of collecting, storing, and preparing data for your data warehouse, leveraging an array of AWS services, including Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon S3.
With hands-on experience, you will master the art of designing data warehousing solutions and gain proficiency in utilizing advanced business intelligence tools for comprehensive data analysis. Join us in this transformative journey towards becoming a data warehousing expert on AWS.
Prerequisites
To make the most of this course, we recommend having the following prerequisites:
- Completion of AWS Technical Essentials
- Familiarity with relational databases and database design concepts
Audience
This course is designed for professionals in various roles, including:
- Database architects
- Database administrators
- Database developers
- Data analysts and scientists
Data Warehousing on AWS Outline
Course Introduction:
- Welcome and Course Overview
- Setting Expectations
Introduction to Data Warehousing:
- Understanding Data Warehousing
- Benefits and Use Cases
- Data Warehousing Architecture
Introduction to Amazon Redshift:
- Overview of Amazon Redshift
- Key Features and Advantages
- Amazon Redshift vs. Traditional Data Warehouses
Understanding Amazon Redshift Components and Resources:
- Amazon Redshift Cluster
- Nodes and Node Types
- Data Distribution Styles
- Columnar Storage and Compression
- Backup and Restore
Launching an Amazon Redshift Cluster:
- Creating an Amazon Redshift Cluster
- Configuring Cluster Settings
- Connecting to the Cluster
- Cluster Management
Reviewing Data Warehousing Approaches:
- Reviewing Different Data Warehousing Approaches
- Choosing the Right Approach for Your Needs
Identifying Data Sources and Requirements:
- Identifying Data Sources
- Data Extraction and Transformation
- Defining Data Requirements
Designing the Data Warehouse:
- Data Warehouse Design Principles
- Schema Design
- Data Modeling Best Practices
Loading Data into the Data Warehouse:
- Data Loading Options
- Data Ingestion Techniques
- Data Loading Best Practices
Writing Queries and Tuning Performance:
- Querying Data in Amazon Redshift
- Query Performance Optimization
- Monitoring and Managing Query Performance
Maintaining the Data Warehouse:
- Data Warehouse Maintenance Tasks
- Backup and Recovery Strategies
- Scaling and Managing Resources
Analyzing and Visualizing Data:
- Business Intelligence Tools
- Data Analysis and Visualization
- Creating Dashboards and Reports
Course Summary:
- Key Takeaways
- Next Steps in Your AWS Data Warehousing Journey
$2025.00
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3 Days Course |