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.

Dozent: Edureka

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4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

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2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

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In Ihrem eigenen Lerntempo lernen

4 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Cloud Storage
Kategorie: Serverless Computing
Kategorie: Cloud Computing Architecture
Kategorie: Data Management

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21 Aufgaben

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In diesem Kurs gibt es 4 Module

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

25 VideosInsgesamt 118 Minuten

Course Introduction4 Minuten
Introduction to Cloud Computing8 Minuten
Cloud Computing Service Models5 Minuten
Cloud Computing Deployment Models 3 Minuten
Amazon Web Services and Its Benefits4 Minuten
Amazon Regions and Availability Zones6 Minuten
What is a Free Tier Account?5 Minuten
Signup an AWS Free Tier Account4 Minuten
Different Amazon Web Services6 Minuten
Ways to access AWS: CLI, Console, and SDKs3 Minuten
Identity and Access Management (IAM)4 Minuten
Concept of Creating and Managing an IAM Users 3 Minuten
Creating and Managing IAM Users on Management Console5 Minuten
Create a New IAM User Group5 Minuten
Creating an IAM Role3 Minuten
IAM Policies5 Minuten
Amazon Elastic Compute Cloud (EC2)4 Minuten
Amazon Machine Image (AMI) and Instance Types4 Minuten
Security Groups in AWS4 Minuten
Creating an EC2 instance4 Minuten
Creating a Custom AMI4 Minuten
Overview of Simple Storage Service5 Minuten
Working on S3 and Bucket Policy4 Minuten
Creation of an S3 Bucket4 Minuten
Versioning in AWS S33 Minuten

10 LektürenInsgesamt 55 Minuten

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

6 AufgabenInsgesamt 45 Minuten

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

5 DiskussionsthemenInsgesamt 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

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

18 VideosInsgesamt 78 Minuten

Overview of Virtual Private Cloud (VPC) and its Components6 Minuten
VPC and Subnets6 Minuten
Internet Gateways and Route Tables6 Minuten
Database Services Provided by AWS4 Minuten
Amazon RDS3 Minuten
RDS Database Instances3 Minuten
Identity and Access Management in Amazon RDS3 Minuten
Creation of RDS4 Minuten
Introduction to SQL4 Minuten
DDL Commands3 Minuten
DQL Commands3 Minuten
DML Commands3 Minuten
DCL Commands3 Minuten
Introduction to Data Warehousing5 Minuten
Data Warehouse Components3 Minuten
Data Modeling in Data Warehousing3 Minuten
ELT Processes in Data Warehousing3 Minuten
Benefits and Challenges of Data Warehousing4 Minuten

4 LektürenInsgesamt 25 Minuten

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

5 AufgabenInsgesamt 40 Minuten

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

4 DiskussionsthemenInsgesamt 20 Minuten

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

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

21 VideosInsgesamt 107 Minuten

Introduction to Amazon Redshift7 Minuten
Features of Amazon Redshift: Key Features and Capabilities4 Minuten
Features of Amazon Redshift: Price Performance3 Minuten
Architecture of Redshift Data Warehouse6 Minuten
Working of Redshift6 Minuten
Data Processing Flow in Amazon Redshift6 Minuten
Why use Amazon Redshift: Setup Process3 Minuten
Why use Amazon Redshift: Better Performance4 Minuten
Amazon Redshift Serverless7 Minuten
Amazon Redshift Serverless Architecture5 Minuten
Amazon Redshift Provisioned Clusters: Introduction4 Minuten
Amazon Redshift Provisioned Clusters: Key Components3 Minuten
Amazon Redshift provisioned clusters Architecture: Illustration3 Minuten
Amazon Redshift provisioned clusters Architecture: Components4 Minuten
Comparison between Amazon Redshift Serverless and Provisioned Clusters6 Minuten
Clusters in Redshift5 Minuten
Nodes in Redshift5 Minuten
Amazon Redshift Serverless workgroups and namespaces4 Minuten
Columnar Storage in Amazon Redshift5 Minuten
Security in Amazon Redshift: Introduction4 Minuten
Security in Amazon Redshift: Data Encryption3 Minuten

3 LektürenInsgesamt 25 Minuten

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

4 AufgabenInsgesamt 35 Minuten

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

3 DiskussionsthemenInsgesamt 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

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

31 VideosInsgesamt 158 Minuten

AWS Secrets Manager6 Minuten
Creating KMS for Redshift Serverless5 Minuten
IAM Roles Configuration for Redshift Query Editor v24 Minuten
Creating Data Warehouse in Amazon Redshift5 Minuten
Creating Data Warehouse in Amazon Redshift: Demonstration9 Minuten
Uploading Sample Data to S34 Minuten
Uploading Sample Data to S3: Demonstration3 Minuten
Create Tables in Query Editor v26 Minuten
Loading Data from S3 to Amazon Redshift4 Minuten
Loading Data from S3 to Amazon Redshift: Demonstration4 Minuten
Running Sample Queries5 Minuten
Visualizing Queries3 Minuten
Visualizing Queries Demonstration5 Minuten
Materialized Views4 Minuten
Materialized Views Demonstration5 Minuten
Amazon Redshift Spectrum5 Minuten
Querying Data using Redshift Spectrum: IAM Role and Cluster Creation3 Minuten
Querying Data using Redshift Spectrum: Creating External Schema4 Minuten
Querying Data using Redshift Spectrum Demonstration: IAM Role and Cluster Creation4 Minuten
Querying Data using Redshift Spectrum Demonstration: Creating External Schema and Tables6 Minuten
ETL (Extract, Transform and Load): Introduction4 Minuten
ETL (Extract, Transform and Load): Working of ETL4 Minuten
Zero-ETL6 Minuten
Zero-ETL with Amazon Redshift Demonstration: Creating Database and Tables7 Minuten
Zero-ETL with Amazon Redshift Demonstration: Connecting to Aurora4 Minuten
Zero-ETL with Amazon Redshift Demonstration: Running Zero-ETL Queries5 Minuten
Monitoring cluster performance data5 Minuten
Monitoring query history data3 Minuten
Monitoring database performance data4 Minuten
Monitoring workload concurrency and concurrency scaling data4 Minuten
Course Summary: Build a Data Warehouse in AWS2 Minuten

4 LektürenInsgesamt 90 Minuten

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

6 AufgabenInsgesamt 50 Minuten

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

4 DiskussionsthemenInsgesamt 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

Dozent

Edureka

131 Kurse122.335 Lernende

von

Edureka

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Häufig gestellte Fragen

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.