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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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
To ensure a successful learning experience in the Data Warehousing on AWS course, the following minimum prerequisites are recommended for participants:
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.
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:
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.