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.



Empfohlene Erfahrung
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: Serverless Computing
- Kategorie: Cloud Computing Architecture
- Kategorie: Cloud Storage
- Kategorie: Data Management
Wichtige Details

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In diesem Kurs gibt es 4 Module
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 Diskussionsthemen2 Plug-ins
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 Diskussionsthemen1 Plug-in
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 Diskussionsthemen1 Plug-in
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 Diskussionsthemen1 Plug-in
Mehr von Cloud Computing entdecken
- Status: Kostenloser Testzeitraum
Amazon Web Services
- Status: Kostenloser Testzeitraum
Whizlabs
- Status: Kostenloser Testzeitraum
Whizlabs
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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.
Weitere Fragen
Finanzielle Unterstützung verfügbar,