Overview What You Will Learn Curriculum Instructor

Course Overview

Amazon Redshift is a powerful, fully managed data warehouse service that enables fast and cost-effective analysis of vast amounts of data. As businesses increasingly rely on data-driven decisions, understanding Redshift becomes essential for professionals working with big data, analytics, or cloud computing. Its ability to process structured and semi-structured data efficiently, combined with integration with the AWS ecosystem, makes it a go-to solution for modern data warehousing needs. This course is designed to demystify Amazon Redshift, providing learners with the foundational knowledge and practical skills necessary to harness its capabilities for data analytics and enterprise-level decision-making.

This course begins with an introduction to data concepts like big data, small data, and fast data, followed by the fundamentals of data warehousing. Learners then explore the architectural evolution and internal workings of Amazon Redshift, including cluster management. The course guides learners through designing efficient database schemas, identifying data sources, and understanding Redshift's column-oriented storage. Next, it covers ETL processes, data loading techniques, and querying using Redshift Spectrum and Redshift ML. Security best practices are detailed with AWS responsibilities, cluster encryption, and role-based access control. Backup, recovery mechanisms, and performance tuning strategies round out the technical skills covered before concluding with a summary of key learnings.

Gain hands-on insight into Redshift’s architecture, data management, security, and optimization to build efficient, scalable data warehousing solutions.

What You Will Learn

  • Analyze and Discuss the core concepts of data warehousing
  • Understand the relationship between Amazon Redshift and other big data systems
  • Implement data warehousing use cases and review case studies that demonstrate implementation of AWS data warehousing solutions
  • Size your Amazon Redshift node type to meet your present and future data requirements
  • Review security features that exist on Amazon Redshift, such as IAM permissions, encryption, and database permissions
  • Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
  • Review various approaches and methodologies used for designing data warehouses
  • Identify data sources and assess requirements that affect the data warehouse design
  • Design the warehouse to make use of compression, data distribution, and sort methods
  • Load and unload data and perform data maintenance tasks
  • Write queries and evaluate query plans to optimize query performance
  • Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters

Program Curriculum

  • Introduction to Data, Big Data, Fast Data, Small Data
  • Introduction to Data Warehousing
  • $7 Million Cybersecurity Scholarship by EC-Council
  • Chapter 1 Quiz

  • History of Amazon Redshift
  • Architecture of Warehouse Systems
  • Introduction to Amazon Redshift
  • Launching Amazon Redshift Clusters
  • Chapter 2 Quiz

  • Designing the Database Schema
  • Identifying the Data Sources
  • Table Setup
  • Column-oriented Storage
  • Chapter 3 Quiz

  • Introduction to ETL (Extract, Transform and Load)
  • Loading Data
  • Using the Copy Command
  • Writing Queries, Functions and Views
  • Using Amazon Redshift Spectrum to Query Data
  • Using Amazon Redshift Spectrum to Query Data
  • Analyzing and Visualizing Data
  • Chapter 4 Quiz

  • AWS Shared Responsibility
  • Securing Your Root Accounts on the Amazon Cloud
  • Enable Cluster Encryption When Launching Redshift Cluster
  • Implementing Role Based Access Control using Users, Groups, Grant and Revoke Privileges
  • Chapter 5 Quiz

  • Backup Concepts
  • Maintaining Clusters
  • Cluster Backups
  • Chapter 6 Quiz

  • Introduction to Tuning
  • Tuning Performance
  • Chapter 7 Quiz

  • Key Takeaways
  • Thank you and Contact Information
Load more modules

Instructor

Michael Onuorah

Michael Onuorah has worked with Databases, Data Warehouses and Big Data Systems in various over the last 20 years. His experience has been in deploying databases, big data systems and data warehouses, focusing on systems of records, systems of engagement, while improving data operations, and transforming data flow within organizations. He has certifications from the Project Management Institute, Oracle, Amazon, NoSQL databases and in Lean Six Sigma. He has also been teaching and managing databases, big data and data warehouse systems and he believes that data is the interconnecting factor across all Industry 4.0 technologies. Michael sees data as the future, however, he strongly believes that the data is the detail, so we must mine and analyze the data until it gives us the relevant insight that we need.

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