Build a Data Warehouse in AWS
- Offered byCoursera
Build a Data Warehouse in AWS at Coursera Overview
Duration | 15 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Build a Data Warehouse in AWS at Coursera Highlights
- Earn a certificate from Edureka
- Add to your LinkedIn profile
Build a Data Warehouse in AWS at Coursera Course details
- What you'll learn
- Working with AWS services, SQL, Data warehousing, Amazon Redshift, Amazon Redshift Serverless, Redshift Spectrum, and ETL in Amazon Redshift.
- Embark on a transformative journey with our "Build a Data Warehouse in AWS" course, immersing yourself in the landscape of Amazon Redshift. This comprehensive course equips you with the essential skills not only to navigate but also to harness the full potential of this robust cloud-based data warehousing solution. During this course, you will explore the applications of AWS data warehousing solutions and delve into its fundamentals. By the end of this course, you will be able to:
- - Explore and understand the concepts of AWS Services used for Data Warehousing in AWS.
- - Gain proficiency in creating and managing IAM users and groups, understanding IAM policies and roles, and applying this knowledge in practical, hands-on scenarios.
- - Differentiate between traditional and cloud storage, operate Simple Storage Service, and understand various storage classes and versioning in AWS S3.
- - Gain a solid understanding of Amazon Redshift and effectively utilize it for data warehousing needs.
- - Effectively set up and managed a data warehouse using Amazon Redshift.
- - Develop a thorough understanding and practical expertise in implementing ETL (Extract, Transform, Load) processes in Amazon Redshift.
- - Acquire knowledge on monitoring and optimizing the performance of Amazon Redshift environments.
- This course is designed for Data Engineers, Cloud Solution Architects, Data Analysts, Database Administrators (DBAs), Software Developers, and Engineers seeking to explore the AWS Data Warehouse and its applications.
- Prior working experience with RDBMS, SQL, and AWS is recommended but optional for this course.
- Begin an educational journey to learn about the Data Warehouse in AWS and its concepts for handling and analyzing large volumes of data.
Build a Data Warehouse in AWS at Coursera Curriculum
Introduction to AWS Services
Course Introduction
Introduction to Cloud Computing
Cloud Computing Service Models
Cloud Computing Deployment Models
Amazon Web Services and Its Benefits
Amazon Regions and Availability Zones
What is a Free Tier Account?
Signup an AWS Free Tier Account
Different Amazon Web Services
Ways to access AWS: CLI, Console, and SDKs
Identity and Access Management (IAM)
Concept of Creating and Managing an IAM Users
Creating and Managing IAM Users on Management Console
Create a New IAM User Group
Creating an IAM Role
IAM Policies
Amazon Elastic Compute Cloud (EC2)
Amazon Machine Image (AMI) and Instance Types
Security Groups in AWS
Creating an EC2 instance
Creating a Custom AMI
Overview of Simple Storage Service
Working on S3 and Bucket Policy
Creation of an S3 Bucket
Versioning in AWS S3
Course Syllabus: Build a Data Warehouse in AWS
Data Center and Virtualization
How to Use Discussion Forums
Configuration of AWS CLI
Creating Policies for New Users
Miscellaneous topics on IAM
Networking Layer in EC2
Elastic Block Store (EBS)
Traditional Storage and Cloud Storage
Summary
Graded Knowledge Check: Introduction to AWS Services
Practice Knowledge Check: Introduction to Cloud Computing and AWS
Practice Knowledge Check: AWS Free Tier Account
Practice Knowledge Check: Identity and Access Management in AWS
Practice Knowledge Check: Compute Services in AWS
Practice Knowledge Check: Storage Services in AWS
How does AWS and cloud computing improve business efficiency?
How has AWS Free Tier impacted your cloud experience?
How does AWS IAM strengthen security? Share best practices for user access in AWS.
How does EC2's elasticity optimize costs in AWS?
What makes Amazon S3 stand out in AWS storage? Discuss its advantages, use cases, and how it addresses common challenges for businesses in the cloud.
Empowering Data Warehousing using SQL and AWS
Overview of Virtual Private Cloud (VPC) and its Components
VPC and Subnets
Internet Gateways and Route Tables
Database Services Provided by AWS
Amazon RDS
RDS Database Instances
Identity and Access Management in Amazon RDS
Creation of RDS
Introduction to SQL
DDL Commands
DQL Commands
DML Commands
DCL Commands
Introduction to Data Warehousing
Data Warehouse Components
Data Modeling in Data Warehousing
ELT Processes in Data Warehousing
Benefits and Challenges of Data Warehousing
CIDR, Private vs Public IP
AWS Networking Terminologies
TCL Commands
Summary
Graded Knowledge Check: Empowering Data Warehousing using SQL and AWS
Practice Knowledge Check: Networking using AWS
Practice Knowledge Check: Databases in AWS
Practice Knowledge Check: Overview of SQL
Practice Knowledge Check: Introduction to Data Warehousing
Discuss the advantages and challenges of networking on AWS, focusing on key features and best practices for scalability and reliability
How do AWS databases enhance scalability and performance in cloud applications? Discuss key services and considerations for various use cases
What are the key principles and functionalities of SQL, and how does it serve as a fundamental tool for managing and manipulating relational databases?
How does data warehousing contribute to effective decision-making in organizations? Discuss key concepts, benefits, and real-world applications.
Fundamentals of Amazon Redshift
Introduction to Amazon Redshift
Features of Amazon Redshift: Key Features and Capabilities
Features of Amazon Redshift: Price Performance
Architecture of Redshift Data Warehouse
Working of Redshift
Data Processing Flow in Amazon Redshift
Why use Amazon Redshift: Setup Process
Why use Amazon Redshift: Better Performance
Amazon Redshift Serverless
Amazon Redshift Serverless Architecture
Amazon Redshift Provisioned Clusters: Introduction
Amazon Redshift Provisioned Clusters: Key Components
Amazon Redshift provisioned clusters Architecture: Illustration
Amazon Redshift provisioned clusters Architecture: Components
Comparison between Amazon Redshift Serverless and Provisioned Clusters
Clusters in Redshift
Nodes in Redshift
Amazon Redshift Serverless workgroups and namespaces
Columnar Storage in Amazon Redshift
Security in Amazon Redshift: Introduction
Security in Amazon Redshift: Data Encryption
Benefits and real-life use cases of Amazon Redshift
Redshift Pricing Model
Users and Groups in Amazon Redshift
Fundamentals of Amazon Redshift
Getting Started with Amazon Redshift
Classification of Amazon Redshift
Key Elements in Amazon Redshift
Share reasons why organizations might choose Amazon Redshift over other data warehousing solutions.
Discuss the real-world examples or case studies highlighting the effective use of Amazon Redshift Serverless and Provisioned Clusters.
Discuss the advantages of columnar storage over traditional row-based storage, especially in terms of query performance and data compression.
Build a Data Warehouse in Amazon Redshift
AWS Secrets Manager
Creating KMS for Redshift Serverless
IAM Roles Configuration for Redshift Query Editor v2
Creating Data Warehouse in Amazon Redshift
Creating Data Warehouse in Amazon Redshift: Demonstration
Uploading Sample Data to S3
Uploading Sample Data to S3: Demonstration
Create Tables in Query Editor v2
Loading Data from S3 to Amazon Redshift
Loading Data from S3 to Amazon Redshift: Demonstration
Running Sample Queries
Visualizing Queries
Visualizing Queries Demonstration
Materialized Views
Materialized Views Demonstration
Amazon Redshift Spectrum
Querying Data using Redshift Spectrum: IAM Role and Cluster Creation
Querying Data using Redshift Spectrum: Creating External Schema
Querying Data using Redshift Spectrum Demonstration: IAM Role and Cluster Creation
Querying Data using Redshift Spectrum Demonstration: Creating External Schema and Tables
ETL (Extract, Transform and Load): Introduction
ETL (Extract, Transform and Load): Working of ETL
Zero-ETL
Zero-ETL with Amazon Redshift Demonstration: Creating Database and Tables
Zero-ETL with Amazon Redshift Demonstration: Connecting to Aurora
Zero-ETL with Amazon Redshift Demonstration: Running Zero-ETL Queries
Monitoring cluster performance data
Monitoring query history data
Monitoring database performance data
Monitoring workload concurrency and concurrency scaling data
Course Summary: Build a Data Warehouse in AWS
Redshift Spectrum Pricing Model
Considerations when using zero-ETL integrations with Amazon Redshift
Introduction to Monitoring in Redshift
Project
Build a Data Warehouse in Amazon Redshift
Build a Data Warehouse in AWS
Setting up Data Warehouse in Amazon Redshift
Redshift Spectrum
ETL in Amazon Redshift
Monitoring in Amazon Redshift
Discuss the importance of Key Management Service (KMS) in the context of Redshift Serverless. How does it contribute to data encryption and security in a serverless environment?
Discuss strategies for optimizing performance when querying data using Redshift Spectrum. How can users fine-tune their queries to achieve faster results? Share your experiences in overcoming performance bottlenecks and ensuring efficient data retrieval.
Discuss key features of Amazon Redshift that make it suitable for Zero-ETL integrations.
Explore how monitoring individual queries and loads can contribute to performance tuning and optimization efforts.
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