Data Warehouse in AWS is a hands-on course designed to help you master the fundamentals of Amazon Redshift and cloud-based data warehousing. This course provides practical knowledge to help you build, manage, and optimize data warehouses using AWS services.
Throughout the course, you will explore core AWS data warehousing concepts, work with real-world data, and learn how to use Amazon Redshift for scalable, high-performance analytics.
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.
Welcome to this module highlighting AWS essentials, encompassing the AWS Free Tier account, AWS Identity and Access Management (IAM), compute services, and storage services. Explore foundational aspects for account security, delve into IAM for access control, and discover compute and storage services for robust cloud solutions.
Inclus
25 vidéos10 lectures6 devoirs5 sujets de discussion
Afficher les informations sur le contenu du module
25 vidéos•Total 119 minutes
Course Introduction•4 minutes
Introduction to Cloud Computing•8 minutes
Cloud Computing Service Models•6 minutes
Cloud Computing Deployment Models •4 minutes
Amazon Web Services and Its Benefits•4 minutes
Amazon Regions and Availability Zones•7 minutes
What is a Free Tier Account?•5 minutes
Signup an AWS Free Tier Account•4 minutes
Different Amazon Web Services•6 minutes
Ways to access AWS: CLI, Console, and SDKs•4 minutes
Identity and Access Management (IAM)•5 minutes
Concept of Creating and Managing an IAM Users •3 minutes
Creating and Managing IAM Users on Management Console•5 minutes
Create a New IAM User Group•5 minutes
Creating an IAM Role•4 minutes
IAM Policies•5 minutes
Amazon Elastic Compute Cloud (EC2)•4 minutes
Amazon Machine Image (AMI) and Instance Types•5 minutes
Security Groups in AWS•5 minutes
Creating an EC2 instance•4 minutes
Creating a Custom AMI•4 minutes
Overview of Simple Storage Service•5 minutes
Working on S3 and Bucket Policy•4 minutes
Creation of an S3 Bucket•4 minutes
Versioning in AWS S3•4 minutes
10 lectures•Total 55 minutes
Course Syllabus: Build a Data Warehouse in AWS•5 minutes
Data Center and Virtualization•5 minutes
How to Use Discussion Forums•4 minutes
Configuration of AWS CLI•7 minutes
Creating Policies for New Users•7 minutes
Miscellaneous topics on IAM•5 minutes
Networking Layer in EC2•7 minutes
Elastic Block Store (EBS)•5 minutes
Traditional Storage and Cloud Storage•5 minutes
Summary•5 minutes
6 devoirs•Total 45 minutes
Practice Knowledge Check: Introduction to Cloud Computing and AWS•5 minutes
Practice Knowledge Check: AWS Free Tier Account•5 minutes
Practice Knowledge Check: Identity and Access Management in AWS•5 minutes
Practice Knowledge Check: Compute Services in AWS•5 minutes
Practice Knowledge Check: Storage Services in AWS•5 minutes
Graded Knowledge Check: Introduction to AWS Services •20 minutes
5 sujets de discussion•Total 25 minutes
How does AWS and cloud computing improve business efficiency? •5 minutes
How has AWS Free Tier impacted your cloud experience?•5 minutes
How does AWS IAM strengthen security? Share best practices for user access in AWS.•5 minutes
How does EC2's elasticity optimize costs in AWS? •5 minutes
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.•5 minutes
Empowering Data Warehousing using SQL and AWS
Module 2•3 heures à terminer
Détails du module
Welcome to this module, which focuses on AWS networking, databases, SQL overview, and data warehousing introduction. Explore AWS networking concepts, master database solutions on AWS, and grasp SQL fundamentals. Gain insights into data warehousing for efficient data management. Acquire skills to optimize AWS resources, ensuring robust data storage, protection, and sharing strategies.
Inclus
18 vidéos4 lectures5 devoirs4 sujets de discussion
Afficher les informations sur le contenu du module
18 vidéos•Total 79 minutes
Overview of Virtual Private Cloud (VPC) and its Components•6 minutes
VPC and Subnets•6 minutes
Internet Gateways and Route Tables•6 minutes
Database Services Provided by AWS•4 minutes
Amazon RDS•4 minutes
RDS Database Instances•4 minutes
Identity and Access Management in Amazon RDS•3 minutes
Creation of RDS•5 minutes
Introduction to SQL•4 minutes
DDL Commands•4 minutes
DQL Commands•4 minutes
DML Commands•3 minutes
DCL Commands•4 minutes
Introduction to Data Warehousing•5 minutes
Data Warehouse Components•3 minutes
Data Modeling in Data Warehousing•3 minutes
ELT Processes in Data Warehousing•4 minutes
Benefits and Challenges of Data Warehousing•5 minutes
4 lectures•Total 25 minutes
CIDR, Private vs Public IP•5 minutes
AWS Networking Terminologies•10 minutes
TCL Commands•5 minutes
Summary•5 minutes
5 devoirs•Total 40 minutes
Practice Knowledge Check: Networking using AWS•5 minutes
Practice Knowledge Check: Databases in AWS•5 minutes
Practice Knowledge Check: Overview of SQL•5 minutes
Practice Knowledge Check: Introduction to Data Warehousing•5 minutes
Graded Knowledge Check: Empowering Data Warehousing using SQL and AWS •20 minutes
4 sujets de discussion•Total 20 minutes
Discuss the advantages and challenges of networking on AWS, focusing on key features and best practices for scalability and reliability•5 minutes
How do AWS databases enhance scalability and performance in cloud applications? Discuss key services and considerations for various use cases•5 minutes
What are the key principles and functionalities of SQL, and how does it serve as a fundamental tool for managing and manipulating relational databases?•5 minutes
How does data warehousing contribute to effective decision-making in organizations? Discuss key concepts, benefits, and real-world applications.•5 minutes
Fundamentals of Amazon Redshift
Module 3•3 heures à terminer
Détails du module
Welcome to "Getting Started with Amazon Redshift." This course introduces you to Redshift’s features, architecture, and benefits, explores serverless vs. provisioned clusters, and covers key elements like nodes, workgroups, storage, and security. By the end, you’ll gain a solid foundation to apply Amazon Redshift in real-world data warehousing and analytics projects.
Inclus
21 vidéos3 lectures4 devoirs3 sujets de discussion
Afficher les informations sur le contenu du module
21 vidéos•Total 107 minutes
Introduction to Amazon Redshift•7 minutes
Features of Amazon Redshift: Key Features and Capabilities•5 minutes
Features of Amazon Redshift: Price Performance•3 minutes
Architecture of Redshift Data Warehouse•6 minutes
Working of Redshift•7 minutes
Data Processing Flow in Amazon Redshift•7 minutes
Why use Amazon Redshift: Setup Process•4 minutes
Why use Amazon Redshift: Better Performance•4 minutes
Comparison between Amazon Redshift Serverless and Provisioned Clusters•7 minutes
Clusters in Redshift•6 minutes
Nodes in Redshift•6 minutes
Amazon Redshift Serverless workgroups and namespaces•4 minutes
Columnar Storage in Amazon Redshift•5 minutes
Security in Amazon Redshift: Introduction•4 minutes
Security in Amazon Redshift: Data Encryption•4 minutes
3 lectures•Total 25 minutes
Benefits and real-life use cases of Amazon Redshift•10 minutes
Redshift Pricing Model•10 minutes
Users and Groups in Amazon Redshift•5 minutes
4 devoirs•Total 35 minutes
Getting Started with Amazon Redshift•5 minutes
Classification of Amazon Redshift•5 minutes
Key Elements in Amazon Redshift•5 minutes
Fundamentals of Amazon Redshift•20 minutes
3 sujets de discussion•Total 15 minutes
Share reasons why organizations might choose Amazon Redshift over other data warehousing solutions.•5 minutes
Discuss the real-world examples or case studies highlighting the effective use of Amazon Redshift Serverless and Provisioned Clusters.•5 minutes
Discuss the advantages of columnar storage over traditional row-based storage, especially in terms of query performance and data compression.•5 minutes
Build a Data Warehouse in Amazon Redshift
Module 4•5 heures à terminer
Détails du module
This module guides you through setting up and managing a data warehouse in Redshift with hands-on practice. You’ll configure AWS Secrets Manager, KMS, and IAM Roles, upload and manage data from S3, and create and query tables using Query Editor v2. The course also covers Redshift Spectrum, ETL processes (including Zero-ETL), performance monitoring, and query optimization. By the end, you’ll gain practical skills to build secure, efficient, and scalable data warehouses in Amazon Redshift.
Inclus
31 vidéos4 lectures6 devoirs4 sujets de discussion
Afficher les informations sur le contenu du module
31 vidéos•Total 159 minutes
AWS Secrets Manager•7 minutes
Creating KMS for Redshift Serverless•5 minutes
IAM Roles Configuration for Redshift Query Editor v2•5 minutes
Creating Data Warehouse in Amazon Redshift•5 minutes
Creating Data Warehouse in Amazon Redshift: Demonstration•9 minutes
Uploading Sample Data to S3•4 minutes
Uploading Sample Data to S3: Demonstration•4 minutes
Create Tables in Query Editor v2•7 minutes
Loading Data from S3 to Amazon Redshift•5 minutes
Loading Data from S3 to Amazon Redshift: Demonstration•5 minutes
Running Sample Queries•5 minutes
Visualizing Queries•3 minutes
Visualizing Queries Demonstration•6 minutes
Materialized Views•4 minutes
Materialized Views Demonstration•6 minutes
Amazon Redshift Spectrum•6 minutes
Querying Data using Redshift Spectrum: IAM Role and Cluster Creation•4 minutes
Querying Data using Redshift Spectrum: Creating External Schema•4 minutes
Querying Data using Redshift Spectrum Demonstration: IAM Role and Cluster Creation•5 minutes
Querying Data using Redshift Spectrum Demonstration: Creating External Schema and Tables•6 minutes
ETL (Extract, Transform and Load): Introduction•4 minutes
ETL (Extract, Transform and Load): Working of ETL•4 minutes
Zero-ETL•7 minutes
Zero-ETL with Amazon Redshift Demonstration: Creating Database and Tables•7 minutes
Zero-ETL with Amazon Redshift Demonstration: Connecting to Aurora•5 minutes
Zero-ETL with Amazon Redshift Demonstration: Running Zero-ETL Queries•6 minutes
Monitoring cluster performance data•5 minutes
Monitoring query history data•4 minutes
Monitoring database performance data•5 minutes
Monitoring workload concurrency and concurrency scaling data•5 minutes
Course Summary: Build a Data Warehouse in AWS•2 minutes
4 lectures•Total 90 minutes
Redshift Spectrum Pricing Model•10 minutes
Considerations when using zero-ETL integrations with Amazon Redshift•10 minutes
Introduction to Monitoring in Redshift•10 minutes
Practice Project•60 minutes
6 devoirs•Total 50 minutes
Setting up Data Warehouse in Amazon Redshift•5 minutes
Redshift Spectrum•5 minutes
ETL in Amazon Redshift•5 minutes
Monitoring in Amazon Redshift•5 minutes
Build a Data Warehouse in Amazon Redshift•10 minutes
Build a Data Warehouse in AWS•20 minutes
4 sujets de discussion•Total 20 minutes
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?•5 minutes
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.•5 minutes
Discuss key features of Amazon Redshift that make it suitable for Zero-ETL integrations.•5 minutes
Explore how monitoring individual queries and loads can contribute to performance tuning and optimization efforts.•5 minutes
Edureka is an online education platform focused on delivering high-quality learning to working professionals. We have the
highest course completion rate in the industry and we strive to create an online ecosystem for our global learners to equip
themselves with industry-relevant skills in today’s cutting edge technologies.
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Felipe M.
Étudiant(e) depuis 2018
’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’
Jennifer J.
Étudiant(e) depuis 2020
’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’
Larry W.
Étudiant(e) depuis 2021
’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’
Chaitanya A.
’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’
The AWS Data Warehouse course provides an introduction to various AWS services for managing the data warehouse. This course covers multiple aspects, including important AWS services, SQL, an overview of data warehousing, Redshift's architecture, data modeling, efficient data loading, and optimized querying. The courses emphasize performance optimization, cluster management, monitoring, and security practices for safeguarding sensitive data.
Who is this course designed for?
This course is tailored for professionals such as Data Engineers, Cloud Solution Architects, Data Analysts, Database Administrators, Software Developers, and Engineers. It focuses on exploring AWS Data Warehouse and its applications, covering topics like data extraction, transformation, loading, architecture optimization, database management, and integration with AWS services.
Do I need prior experience with RDBMS, SQL, and AWS?
While prior experience with RDBMS, SQL, and AWS is recommended for this course, it's optional. The curriculum is designed to accommodate learners with varying levels of familiarity, providing comprehensive modules for those without prior exposure.
What will I learn from this course?
This course covers essential AWS services, SQL, and data warehousing, focusing on key topics such as Redshift's architecture, data modeling, efficient data loading, and optimized querying. Emphasis is placed on performance optimization, cluster management, monitoring, and security practices to safeguard sensitive data.
Why choose AWS for building a data warehouse?
AWS offers a scalable and secure cloud infrastructure with services like Amazon Redshift, which is a fully managed data warehouse solution. It provides high-performance analytics, integrates seamlessly with other AWS services, and enables users to pay solely for the resources they utilize.
What is Amazon Redshift, and how does it differ from traditional databases?
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It differs from traditional databases in its ability to handle large-scale analytics workloads with high performance, scalability, and ease of management.
What Amazon Redshift cluster configurations are used in the course?
You’ll learn how to create, configure, and scale Redshift clusters, exploring node types and workload management.
Does the course cover Redshift Spectrum or external table integration with S3?
Yes, Redshift Spectrum and S3 integration are demonstrated for querying external data directly.
Will I learn how to secure a Redshift data warehouse using IAM roles and encryption?
Yes, you’ll configure IAM roles, encryption, and access controls to secure your warehouse.
Does the course walk through cost monitoring in AWS for Redshift usage?
Yes, cost tracking and optimization strategies are included to help you manage Redshift spend.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.