Who should attend this Building Data Lakes on AWS Training Course?
The Building Data Lakes on AWS Course in Columbia is designed for a wide range of professionals who are involved in designing, building, and managing data lakes on the AWS cloud platform. The following professionals can greatly benefit from attending this course:
- Data Engineers
- Database Administrators
- Data Analysts
- Data Scientists
- Solution Architects
- DevOps Engineers
- Business Intelligence Professionals
Prerequisites of the Building Data Lakes on AWS Builders Training Course
Before attending this Building Data Lakes on AWS Course in Columbia, delegates should have completed AWS Technical Essentials Training.
Building Data Lakes on AWS Training Course Overview
Building Data Lakes on AWS is a crucial training course that introduces professionals to the concept of Data Lakes, a central repository capable of storing vast amounts of unstructured and structured data. With the prominence of Amazon Web Services (AWS) as a leading cloud platform, this course is highly relevant for businesses seeking comprehensive solutions for collecting, storing, and analyzing data at any scale and cost-effectively.
Professionals who should aim at mastering Building Data Lakes on AWS include operational support engineers, cloud software engineers, AWS solutions architects, and others seeking roles in data management and analytics. Acquiring expertise in AWS Lake Formation positions individuals for significant job titles and competitive compensation in Columbia.
The Knowledge Academy's 1-day training in Columbia on Building Data Lakes on AWS is designed to provide a comprehensive understanding of AWS Lake Formation. Delegates will delve into topics such as data lake and warehouse comparison, data formatting, partitioning, compression for efficient storage and query, AWS Lake Formation security model, and components of a data lake.
Course Objectives
- To compare and describe data lakes and warehouses
- To identify data formatting, partitioning, and compression for efficient storage and query
- To understand the AWS Lake Formation security model
- To describe the components of a data lake
- To recognize common architectures built on data lakes
- To visualize data with Amazon QuickSight
Upon completing this course in Columbia, delegates will benefit by gaining practical insights into optimizing the cost and performance of Data Lakes on AWS. They will acquire the skills necessary to navigate the complexities of data storage, security, and analytics within AWS Lake Formation, enhancing their proficiency for roles in data management and AWS solutions architecture.