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Data Warehousing on AWS
Description
Data Warehousing on AWS Introduction
Welcome to our comprehensive course on Data Warehousing with AWS, specifically designed to elevate your skills in designing and managing cloud-based data warehousing solutions using Amazon Redshift. This course is perfect for database architects, administrators, developers, and data analysts eager to master Amazon Redshift, a powerful petabyte-scale data warehouse service provided by AWS. By the end of this course, you will have a thorough understanding of how to utilize Amazon Redshift to its fullest potential, ensuring efficient data handling and insightful analysis.
This course is carefully structured to provide you with the latest principles, strategies, and best practices for developing and managing scalable data warehouses in the cloud. You’ll gain in-depth knowledge of the architectural components of Amazon Redshift and how it integrates seamlessly with other AWS services.
These include Amazon DynamoDB for NoSQL data storage, Amazon EMR for big data processing, Amazon Kinesis Firehose for real-time data loading, and Amazon S3 for durable, scalable object storage. This holistic approach will prepare you to tackle any challenges in modern data warehousing.
Through practical, hands-on lessons, you’ll learn to design robust data warehousing solutions that support extensive data analysis and business intelligence. By leveraging advanced tools and techniques, you will enhance your ability to make data-driven decisions and gain valuable insights into business operations. Join us on this transformative journey to become a proficient data warehousing specialist on AWS, equipped with the skills needed to excel in today’s data-centric world.
Data Warehousing on AWS Course Objectives
In this Data Warehousing on AWS course, participants will:
- Understand the Fundamentals: Gain a solid foundation in cloud-based data warehousing principles, focusing on Amazon Redshift’s architecture and integration with AWS ecosystem.
- Develop Design Skills: Learn to architect scalable, secure, and efficient data warehousing solutions that effectively handle large volumes of data.
- Master Data Management Techniques: Acquire skills in data collection, storage, and preparation using AWS services such as Amazon DynamoDB, Amazon EMR, and Amazon S3.
- Enhance Analysis Capabilities: Become proficient in using advanced business intelligence tools for data analysis to drive strategic decisions.
- Hands-on Experience: Apply your learning in real-world scenarios to build confidence and practical expertise in managing and analyzing data with Amazon Redshift.
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 |