Data Warehousing on AWS Course Overview

Data Warehousing on AWS Course Overview

The AWS Data Warehousing Training course provides an in-depth look into the world of cloud-based data warehousing using Amazon Web Services. It is designed for learners to gain mastery over AWS's data warehousing solutions, focusing on Amazon Redshift, a fast, scalable, and fully managed data warehouse service.

Module 1 sets the foundation with an introduction to data warehousing concepts, a deep dive into Amazon Redshift, and practical steps on launching Redshift clusters. Module 2 progresses into the intricacies of designing efficient database schemas, identifying various data sources, and the methods for loading data into Redshift. Module 3 rounds out the learning with advanced topics like writing optimized queries, utilizing Amazon Redshift Spectrum for querying exabytes of data, maintaining the health of clusters, and analyzing and visualizing the stored data.

By the end of this AWS Data Warehousing Training, learners will be well-equipped to handle data warehousing tasks on AWS, enabling them to support data-driven decisions within their organizations.

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  • Live Online Training (Duration : 24 Hours)
  • Per Participant
  • Including Official Coursebook
  • Guaranteed-to-Run (GTR)
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  • Live Online Training (Duration : 24 Hours)
  • Per Participant
  • Including Official Coursebook

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

To ensure a successful learning experience in the Data Warehousing on AWS course, the following minimum prerequisites are recommended for participants:

  • Basic understanding of database principles, including relational databases.
  • Familiarity with SQL and experience executing basic SQL queries.
  • Basic knowledge of core AWS services and public cloud implementation. Prior experience with AWS is beneficial but not mandatory.
  • Understanding of data warehousing concepts and the purpose they serve within an organization's data management infrastructure.

Please note that while these prerequisites are aimed at providing a baseline for the course, individuals with a strong willingness to learn and a commitment to engaging with the course materials may also succeed. The course is designed to guide you through the complexities of data warehousing on AWS, with a focus on hands-on learning and practical applications.

Target Audience for Data Warehousing on AWS

Data Warehousing on AWS is designed to equip professionals with the skills to manage and analyze large-scale data using Amazon Redshift.

Target audience for the course includes:

  • Data Engineers
  • Database Administrators
  • Business Intelligence Professionals
  • Data Analysts
  • IT Managers overseeing data management teams
  • Cloud Solutions Architects
  • Data Scientists interested in data warehousing solutions
  • Developers working on big data analytics
  • System Administrators managing cloud infrastructure
  • Technical Project Managers involved in data-centric projects
  • Professionals seeking AWS Certification in Big Data and Data Analytics

Learning Objectives - What you will Learn in this Data Warehousing on AWS?

Introduction to Course Learning Outcomes:

The Data Warehousing on AWS course equips students with the know-how to effectively leverage Amazon Redshift for building scalable data warehouses, perform data analysis, and optimize data query performance.

Learning Objectives and Outcomes:

  • Understand the fundamentals of data warehousing and the role of Amazon Redshift in data warehousing solutions.
  • Gain hands-on experience launching and configuring Amazon Redshift clusters to meet data warehousing requirements.
  • Learn to design robust and scalable database schemas tailored for data warehousing needs.
  • Identify and integrate various data sources for data ingestion into Amazon Redshift.
  • Master the process of loading data into Amazon Redshift with best practices for efficiency and reliability.
  • Develop proficiency in writing complex SQL queries and optimizing query performance in a Redshift environment.
  • Explore Amazon Redshift Spectrum for querying exabytes of data in S3 without loading it into Redshift clusters.
  • Acquire skills for maintaining and monitoring the health and performance of Amazon Redshift clusters.
  • Enhance the ability to analyze and visualize data using Amazon Redshift and complementary AWS services.
  • Understand best practices for security, cost management, and scaling in the context of AWS data warehousing.