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.
Das ist alles enthalten
25 Videos10 Lektüren6 Aufgaben5 Diskussionsthemen
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25 Videos•Insgesamt 119 Minuten
Course Introduction•4 Minuten
Introduction to Cloud Computing•8 Minuten
Cloud Computing Service Models•6 Minuten
Cloud Computing Deployment Models •4 Minuten
Amazon Web Services and Its Benefits•4 Minuten
Amazon Regions and Availability Zones•7 Minuten
What is a Free Tier Account?•5 Minuten
Signup an AWS Free Tier Account•4 Minuten
Different Amazon Web Services•6 Minuten
Ways to access AWS: CLI, Console, and SDKs•4 Minuten
Identity and Access Management (IAM)•5 Minuten
Concept of Creating and Managing an IAM Users •3 Minuten
Creating and Managing IAM Users on Management Console•5 Minuten
Create a New IAM User Group•5 Minuten
Creating an IAM Role•4 Minuten
IAM Policies•5 Minuten
Amazon Elastic Compute Cloud (EC2)•4 Minuten
Amazon Machine Image (AMI) and Instance Types•5 Minuten
Security Groups in AWS•5 Minuten
Creating an EC2 instance•4 Minuten
Creating a Custom AMI•4 Minuten
Overview of Simple Storage Service•5 Minuten
Working on S3 and Bucket Policy•4 Minuten
Creation of an S3 Bucket•4 Minuten
Versioning in AWS S3•4 Minuten
10 Lektüren•Insgesamt 55 Minuten
Course Syllabus: Build a Data Warehouse in AWS•5 Minuten
Data Center and Virtualization•5 Minuten
How to Use Discussion Forums•4 Minuten
Configuration of AWS CLI•7 Minuten
Creating Policies for New Users•7 Minuten
Miscellaneous topics on IAM•5 Minuten
Networking Layer in EC2•7 Minuten
Elastic Block Store (EBS)•5 Minuten
Traditional Storage and Cloud Storage•5 Minuten
Summary•5 Minuten
6 Aufgaben•Insgesamt 45 Minuten
Graded Knowledge Check: Introduction to AWS Services •20 Minuten
Practice Knowledge Check: Introduction to Cloud Computing and AWS•5 Minuten
Practice Knowledge Check: AWS Free Tier Account•5 Minuten
Practice Knowledge Check: Identity and Access Management in AWS•5 Minuten
Practice Knowledge Check: Compute Services in AWS•5 Minuten
Practice Knowledge Check: Storage Services in AWS•5 Minuten
5 Diskussionsthemen•Insgesamt 25 Minuten
How does AWS and cloud computing improve business efficiency? •5 Minuten
How has AWS Free Tier impacted your cloud experience?•5 Minuten
How does AWS IAM strengthen security? Share best practices for user access in AWS.•5 Minuten
How does EC2's elasticity optimize costs in AWS? •5 Minuten
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 Minuten
Empowering Data Warehousing using SQL and AWS
Modul 2•3 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
18 Videos4 Lektüren5 Aufgaben4 Diskussionsthemen
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18 Videos•Insgesamt 79 Minuten
Overview of Virtual Private Cloud (VPC) and its Components•6 Minuten
VPC and Subnets•6 Minuten
Internet Gateways and Route Tables•6 Minuten
Database Services Provided by AWS•4 Minuten
Amazon RDS•4 Minuten
RDS Database Instances•4 Minuten
Identity and Access Management in Amazon RDS•3 Minuten
Creation of RDS•5 Minuten
Introduction to SQL•4 Minuten
DDL Commands•4 Minuten
DQL Commands•4 Minuten
DML Commands•3 Minuten
DCL Commands•4 Minuten
Introduction to Data Warehousing•5 Minuten
Data Warehouse Components•3 Minuten
Data Modeling in Data Warehousing•3 Minuten
ELT Processes in Data Warehousing•4 Minuten
Benefits and Challenges of Data Warehousing•5 Minuten
4 Lektüren•Insgesamt 25 Minuten
CIDR, Private vs Public IP•5 Minuten
AWS Networking Terminologies•10 Minuten
TCL Commands•5 Minuten
Summary•5 Minuten
5 Aufgaben•Insgesamt 40 Minuten
Graded Knowledge Check: Empowering Data Warehousing using SQL and AWS •20 Minuten
Practice Knowledge Check: Networking using AWS•5 Minuten
Practice Knowledge Check: Databases in AWS•5 Minuten
Practice Knowledge Check: Overview of SQL•5 Minuten
Practice Knowledge Check: Introduction to Data Warehousing•5 Minuten
4 Diskussionsthemen•Insgesamt 20 Minuten
Discuss the advantages and challenges of networking on AWS, focusing on key features and best practices for scalability and reliability•5 Minuten
How do AWS databases enhance scalability and performance in cloud applications? Discuss key services and considerations for various use cases•5 Minuten
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 Minuten
How does data warehousing contribute to effective decision-making in organizations? Discuss key concepts, benefits, and real-world applications.•5 Minuten
Fundamentals of Amazon Redshift
Modul 3•3 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
21 Videos3 Lektüren4 Aufgaben3 Diskussionsthemen
Infos zu Modulinhalt anzeigen
21 Videos•Insgesamt 107 Minuten
Introduction to Amazon Redshift•7 Minuten
Features of Amazon Redshift: Key Features and Capabilities•5 Minuten
Features of Amazon Redshift: Price Performance•3 Minuten
Architecture of Redshift Data Warehouse•6 Minuten
Working of Redshift•7 Minuten
Data Processing Flow in Amazon Redshift•7 Minuten
Why use Amazon Redshift: Setup Process•4 Minuten
Why use Amazon Redshift: Better Performance•4 Minuten
Comparison between Amazon Redshift Serverless and Provisioned Clusters•7 Minuten
Clusters in Redshift•6 Minuten
Nodes in Redshift•6 Minuten
Amazon Redshift Serverless workgroups and namespaces•4 Minuten
Columnar Storage in Amazon Redshift•5 Minuten
Security in Amazon Redshift: Introduction•4 Minuten
Security in Amazon Redshift: Data Encryption•4 Minuten
3 Lektüren•Insgesamt 25 Minuten
Benefits and real-life use cases of Amazon Redshift•10 Minuten
Redshift Pricing Model•10 Minuten
Users and Groups in Amazon Redshift•5 Minuten
4 Aufgaben•Insgesamt 35 Minuten
Fundamentals of Amazon Redshift•20 Minuten
Getting Started with Amazon Redshift•5 Minuten
Classification of Amazon Redshift•5 Minuten
Key Elements in Amazon Redshift•5 Minuten
3 Diskussionsthemen•Insgesamt 15 Minuten
Share reasons why organizations might choose Amazon Redshift over other data warehousing solutions.•5 Minuten
Discuss the real-world examples or case studies highlighting the effective use of Amazon Redshift Serverless and Provisioned Clusters.•5 Minuten
Discuss the advantages of columnar storage over traditional row-based storage, especially in terms of query performance and data compression.•5 Minuten
Build a Data Warehouse in Amazon Redshift
Modul 4•5 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
31 Videos4 Lektüren6 Aufgaben4 Diskussionsthemen
Infos zu Modulinhalt anzeigen
31 Videos•Insgesamt 159 Minuten
AWS Secrets Manager•7 Minuten
Creating KMS for Redshift Serverless•5 Minuten
IAM Roles Configuration for Redshift Query Editor v2•5 Minuten
Creating Data Warehouse in Amazon Redshift•5 Minuten
Creating Data Warehouse in Amazon Redshift: Demonstration•9 Minuten
Uploading Sample Data to S3•4 Minuten
Uploading Sample Data to S3: Demonstration•4 Minuten
Create Tables in Query Editor v2•7 Minuten
Loading Data from S3 to Amazon Redshift•5 Minuten
Loading Data from S3 to Amazon Redshift: Demonstration•5 Minuten
Running Sample Queries•5 Minuten
Visualizing Queries•3 Minuten
Visualizing Queries Demonstration•6 Minuten
Materialized Views•4 Minuten
Materialized Views Demonstration•6 Minuten
Amazon Redshift Spectrum•6 Minuten
Querying Data using Redshift Spectrum: IAM Role and Cluster Creation•4 Minuten
Querying Data using Redshift Spectrum: Creating External Schema•4 Minuten
Querying Data using Redshift Spectrum Demonstration: IAM Role and Cluster Creation•5 Minuten
Querying Data using Redshift Spectrum Demonstration: Creating External Schema and Tables•6 Minuten
ETL (Extract, Transform and Load): Introduction•4 Minuten
ETL (Extract, Transform and Load): Working of ETL•4 Minuten
Zero-ETL•7 Minuten
Zero-ETL with Amazon Redshift Demonstration: Creating Database and Tables•7 Minuten
Zero-ETL with Amazon Redshift Demonstration: Connecting to Aurora•5 Minuten
Zero-ETL with Amazon Redshift Demonstration: Running Zero-ETL Queries•6 Minuten
Monitoring cluster performance data•5 Minuten
Monitoring query history data•4 Minuten
Monitoring database performance data•5 Minuten
Monitoring workload concurrency and concurrency scaling data•5 Minuten
Course Summary: Build a Data Warehouse in AWS•2 Minuten
4 Lektüren•Insgesamt 90 Minuten
Redshift Spectrum Pricing Model•10 Minuten
Considerations when using zero-ETL integrations with Amazon Redshift•10 Minuten
Introduction to Monitoring in Redshift•10 Minuten
Practice Project•60 Minuten
6 Aufgaben•Insgesamt 50 Minuten
Build a Data Warehouse in Amazon Redshift•10 Minuten
Build a Data Warehouse in AWS•20 Minuten
Setting up Data Warehouse in Amazon Redshift•5 Minuten
Redshift Spectrum•5 Minuten
ETL in Amazon Redshift•5 Minuten
Monitoring in Amazon Redshift•5 Minuten
4 Diskussionsthemen•Insgesamt 20 Minuten
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 Minuten
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 Minuten
Discuss key features of Amazon Redshift that make it suitable for Zero-ETL integrations.•5 Minuten
Explore how monitoring individual queries and loads can contribute to performance tuning and optimization efforts.•5 Minuten
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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.