Who should attend this Building Data Lakes on AWS Training Course?
The Building Data Lakes on AWS Course 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, delegates should have completed AWS Technical Essentials Training.
Building Data Lakes on AWS Training Course Overview
Data Lake is a centralised repository that allows the storage of unstructured and structured data at any scale. Data Lake on AWS provides businesses with the ability to collect and store any data, at any scale, and at a low cost. Amazon Web Services (AWS) is the world’s most complete and widely used cloud platform, with numerous fully-featured services available from data centres worldwide. Building Data Lakes on AWS helps businesses to secure their data, prevent unauthorised access, and use a broad set of analytics engines. This training course will enable learners to get familiar with the procedure to optimise the cost and performance of Data Lakes on AWS. Pursuing this Building Data Lakes on AWS Training course will lead learners to earn more significant job titles such as operational support engineer, cloud software engineer, AWS solutions architect, etc., with good pay.
The Knowledge Academy’s 1-day Building Data Lakes on AWS training course is designed to provide a detailed insight into the features and benefits of AWS Lake Formation. During this training course, delegates will learn to compare and describe data lakes and warehouses, identify data formatting, partitioning, compression for efficient storage and query, etc. Furthermore, they will also understand the AWS lake formation security model and describe the components of a data lake.
Other than the above topics, delegates will also learn the following concepts:
- Recognise common architectures built on data lakes
- Visualise data with Amazon QuickSight
- Identify data formatting, partitioning, and compression for efficient storage and query
- Use AWS glue to process data within a data lake
- Understand the AWS Lake Formation security model
Our highly expert trainer with many years of experience has curated this training course to help delegates gain the skills required to build and secure Data Lakes on AWS.
At the end of this training course, delegates will be to recognise the common architecture built on data lakes. They will also be able to understand the AWS lake formation security model and use AWS Lake Formation to create data lakes.