VOOZH about

URL: https://www.coursera.org/learn/build-data-warehouse-in-aws

⇱ Build a Data Warehouse in AWS | Coursera

Build a Data Warehouse in AWS

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Build a Data Warehouse in AWS

Instructor: Edureka

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Configure and manage Amazon Redshift clusters, IAM roles, and secure storage.

  • Integrate Redshift with S3, Redshift Spectrum, and AWS Glue for ETL workflows.

  • Optimize, scale, and monitor Redshift clusters with best practices.

  • Connect BI tools to Redshift for reporting and insights.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

21 assignments

Taught in English

There are 4 modules in this course

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.

What's included

25 videos10 readings6 assignments5 discussion prompts

25 videos•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 readings•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 assignments•Total 45 minutes
  • Graded Knowledge Check: Introduction to AWS Services •20 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
5 discussion prompts•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

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.

What's included

18 videos4 readings5 assignments4 discussion prompts

18 videos•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 readings•Total 25 minutes
  • CIDR, Private vs Public IP•5 minutes
  • AWS Networking Terminologies•10 minutes
  • TCL Commands•5 minutes
  • Summary•5 minutes
5 assignments•Total 40 minutes
  • Graded Knowledge Check: Empowering Data Warehousing using SQL and AWS •20 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
4 discussion prompts•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

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.

What's included

21 videos3 readings4 assignments3 discussion prompts

21 videos•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
  • Amazon Redshift Serverless•7 minutes
  • Amazon Redshift Serverless Architecture•6 minutes
  • Amazon Redshift Provisioned Clusters: Introduction•4 minutes
  • Amazon Redshift Provisioned Clusters: Key Components•4 minutes
  • Amazon Redshift provisioned clusters Architecture: Illustration•3 minutes
  • Amazon Redshift provisioned clusters Architecture: Components•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 readings•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 assignments•Total 35 minutes
  • Fundamentals of Amazon Redshift•20 minutes
  • Getting Started with Amazon Redshift•5 minutes
  • Classification of Amazon Redshift•5 minutes
  • Key Elements in Amazon Redshift•5 minutes
3 discussion prompts•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

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.

What's included

31 videos4 readings6 assignments4 discussion prompts

31 videos•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 readings•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 assignments•Total 50 minutes
  • Build a Data Warehouse in Amazon Redshift•10 minutes
  • Build a Data Warehouse in AWS•20 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
4 discussion prompts•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

Instructor

Edureka
203 Courses•185,724 learners

Explore more from Cloud Computing

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

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.

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.

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.

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.

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.

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.

You’ll learn how to create, configure, and scale Redshift clusters, exploring node types and workload management.

Yes, Redshift Spectrum and S3 integration are demonstrated for querying external data directly.

Yes, you’ll configure IAM roles, encryption, and access controls to secure your warehouse.

Yes, cost tracking and optimization strategies are included to help you manage Redshift spend.

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.

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.

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.

Financial aid available,