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.

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.

Build a Data Warehouse in AWS

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Build a Data Warehouse in AWS

Q: 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.

Instructeur : Edureka

Inclus avec

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Data Management
Catégorie : Cloud Computing Architecture
Catégorie : User Provisioning
Catégorie : Serverless Computing
Catégorie : Database Architecture and Administration
Catégorie : Identity and Access Management

Outils que vous découvrirez

Catégorie : Query Languages
Catégorie : Cloud Storage

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

21 devoirs

Enseigné en Anglais

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Il y a 4 modules dans ce cours

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

25 vidéosTotal 119 minutes

Course Introduction4 minutes
Introduction to Cloud Computing8 minutes
Cloud Computing Service Models6 minutes
Cloud Computing Deployment Models 4 minutes
Amazon Web Services and Its Benefits4 minutes
Amazon Regions and Availability Zones7 minutes
What is a Free Tier Account?5 minutes
Signup an AWS Free Tier Account4 minutes
Different Amazon Web Services6 minutes
Ways to access AWS: CLI, Console, and SDKs4 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 Console5 minutes
Create a New IAM User Group5 minutes
Creating an IAM Role4 minutes
IAM Policies5 minutes
Amazon Elastic Compute Cloud (EC2)4 minutes
Amazon Machine Image (AMI) and Instance Types5 minutes
Security Groups in AWS5 minutes
Creating an EC2 instance4 minutes
Creating a Custom AMI4 minutes
Overview of Simple Storage Service5 minutes
Working on S3 and Bucket Policy4 minutes
Creation of an S3 Bucket4 minutes
Versioning in AWS S34 minutes

10 lecturesTotal 55 minutes

Course Syllabus: Build a Data Warehouse in AWS5 minutes
Data Center and Virtualization5 minutes
How to Use Discussion Forums4 minutes
Configuration of AWS CLI7 minutes
Creating Policies for New Users7 minutes
Miscellaneous topics on IAM5 minutes
Networking Layer in EC27 minutes
Elastic Block Store (EBS)5 minutes
Traditional Storage and Cloud Storage5 minutes
Summary5 minutes

6 devoirsTotal 45 minutes

Graded Knowledge Check: Introduction to AWS Services 20 minutes
Practice Knowledge Check: Introduction to Cloud Computing and AWS5 minutes
Practice Knowledge Check: AWS Free Tier Account5 minutes
Practice Knowledge Check: Identity and Access Management in AWS5 minutes
Practice Knowledge Check: Compute Services in AWS5 minutes
Practice Knowledge Check: Storage Services in AWS5 minutes

5 sujets de discussionTotal 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.

Inclus

18 vidéos4 lectures5 devoirs4 sujets de discussion

18 vidéosTotal 79 minutes

Overview of Virtual Private Cloud (VPC) and its Components6 minutes
VPC and Subnets6 minutes
Internet Gateways and Route Tables6 minutes
Database Services Provided by AWS4 minutes
Amazon RDS4 minutes
RDS Database Instances4 minutes
Identity and Access Management in Amazon RDS3 minutes
Creation of RDS5 minutes
Introduction to SQL4 minutes
DDL Commands4 minutes
DQL Commands4 minutes
DML Commands3 minutes
DCL Commands4 minutes
Introduction to Data Warehousing5 minutes
Data Warehouse Components3 minutes
Data Modeling in Data Warehousing3 minutes
ELT Processes in Data Warehousing4 minutes
Benefits and Challenges of Data Warehousing5 minutes

4 lecturesTotal 25 minutes

CIDR, Private vs Public IP5 minutes
AWS Networking Terminologies10 minutes
TCL Commands5 minutes
Summary5 minutes

5 devoirsTotal 40 minutes

Graded Knowledge Check: Empowering Data Warehousing using SQL and AWS 20 minutes
Practice Knowledge Check: Networking using AWS5 minutes
Practice Knowledge Check: Databases in AWS5 minutes
Practice Knowledge Check: Overview of SQL5 minutes
Practice Knowledge Check: Introduction to Data Warehousing5 minutes

4 sujets de discussionTotal 20 minutes

Discuss the advantages and challenges of networking on AWS, focusing on key features and best practices for scalability and reliability5 minutes
How do AWS databases enhance scalability and performance in cloud applications? Discuss key services and considerations for various use cases5 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.

Inclus

21 vidéos3 lectures4 devoirs3 sujets de discussion

21 vidéosTotal 107 minutes

Introduction to Amazon Redshift7 minutes
Features of Amazon Redshift: Key Features and Capabilities5 minutes
Features of Amazon Redshift: Price Performance3 minutes
Architecture of Redshift Data Warehouse6 minutes
Working of Redshift7 minutes
Data Processing Flow in Amazon Redshift7 minutes
Why use Amazon Redshift: Setup Process4 minutes
Why use Amazon Redshift: Better Performance4 minutes
Amazon Redshift Serverless7 minutes
Amazon Redshift Serverless Architecture6 minutes
Amazon Redshift Provisioned Clusters: Introduction4 minutes
Amazon Redshift Provisioned Clusters: Key Components4 minutes
Amazon Redshift provisioned clusters Architecture: Illustration3 minutes
Amazon Redshift provisioned clusters Architecture: Components4 minutes
Comparison between Amazon Redshift Serverless and Provisioned Clusters7 minutes
Clusters in Redshift6 minutes
Nodes in Redshift6 minutes
Amazon Redshift Serverless workgroups and namespaces4 minutes
Columnar Storage in Amazon Redshift5 minutes
Security in Amazon Redshift: Introduction4 minutes
Security in Amazon Redshift: Data Encryption4 minutes

3 lecturesTotal 25 minutes

Benefits and real-life use cases of Amazon Redshift10 minutes
Redshift Pricing Model10 minutes
Users and Groups in Amazon Redshift5 minutes

4 devoirsTotal 35 minutes

Fundamentals of Amazon Redshift20 minutes
Getting Started with Amazon Redshift5 minutes
Classification of Amazon Redshift5 minutes
Key Elements in Amazon Redshift5 minutes

3 sujets de discussionTotal 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.

Inclus

31 vidéos4 lectures6 devoirs4 sujets de discussion

31 vidéosTotal 159 minutes

AWS Secrets Manager7 minutes
Creating KMS for Redshift Serverless5 minutes
IAM Roles Configuration for Redshift Query Editor v25 minutes
Creating Data Warehouse in Amazon Redshift5 minutes
Creating Data Warehouse in Amazon Redshift: Demonstration9 minutes
Uploading Sample Data to S34 minutes
Uploading Sample Data to S3: Demonstration4 minutes
Create Tables in Query Editor v27 minutes
Loading Data from S3 to Amazon Redshift5 minutes
Loading Data from S3 to Amazon Redshift: Demonstration5 minutes
Running Sample Queries5 minutes
Visualizing Queries3 minutes
Visualizing Queries Demonstration6 minutes
Materialized Views4 minutes
Materialized Views Demonstration6 minutes
Amazon Redshift Spectrum6 minutes
Querying Data using Redshift Spectrum: IAM Role and Cluster Creation4 minutes
Querying Data using Redshift Spectrum: Creating External Schema4 minutes
Querying Data using Redshift Spectrum Demonstration: IAM Role and Cluster Creation5 minutes
Querying Data using Redshift Spectrum Demonstration: Creating External Schema and Tables6 minutes
ETL (Extract, Transform and Load): Introduction4 minutes
ETL (Extract, Transform and Load): Working of ETL4 minutes
Zero-ETL7 minutes
Zero-ETL with Amazon Redshift Demonstration: Creating Database and Tables7 minutes
Zero-ETL with Amazon Redshift Demonstration: Connecting to Aurora5 minutes
Zero-ETL with Amazon Redshift Demonstration: Running Zero-ETL Queries6 minutes
Monitoring cluster performance data5 minutes
Monitoring query history data4 minutes
Monitoring database performance data5 minutes
Monitoring workload concurrency and concurrency scaling data5 minutes
Course Summary: Build a Data Warehouse in AWS2 minutes

4 lecturesTotal 90 minutes

Redshift Spectrum Pricing Model10 minutes
Considerations when using zero-ETL integrations with Amazon Redshift10 minutes
Introduction to Monitoring in Redshift10 minutes
Practice Project60 minutes

6 devoirsTotal 50 minutes

Build a Data Warehouse in Amazon Redshift10 minutes
Build a Data Warehouse in AWS20 minutes
Setting up Data Warehouse in Amazon Redshift5 minutes
Redshift Spectrum5 minutes
ETL in Amazon Redshift5 minutes
Monitoring in Amazon Redshift5 minutes

4 sujets de discussionTotal 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

Instructeur

Edureka

178 Cours164 471 apprenants

Offert par

Edureka

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Foire Aux 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.

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.