Description
The Building a Serverless Data Lake on AWS course focuses on enabling participants to develop an operational data lake capable of handling structured and unstructured data. Throughout the course, participants will gain comprehensive knowledge of the components and functionalities of AWS services essential for building an efficient data lake.
Participants will have the opportunity to create a data lake using AWS Lake Formation, a service that simplifies the process of setting up and managing data lakes. Additionally, the course covers the use of AWS Glue, a data catalog service that facilitates data discovery and metadata management within the data lake environment. Participants will also learn data analysis techniques using Amazon Athena, a serverless query service for analyzing data directly from the data lake.
To enhance understanding and practical skills, the course provides lectures and hands-on labs that explore various common data lake architectures. By examining these structures, participants will gain insights into designing and optimising data lakes to meet specific business requirements.
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Audience
Data Platform Engineers
Data Scientists
Solutions Architects
IT Professionals
Did you know? According to Global Knowledge's 2022 IT Skills and Salary Report, AWS Certified Solutions Architect - Associate was one of the top-paying IT certifications, with an average salary of over $130,000.
Prerequisites
Completed the AWS Technical Essentials course
Commercial experience building data analytics pipelines
Enrolled in the Data Analytics Fundamentals digital course
"The ones who are crazy enough to think they can change the world, are the ones that do." - Steve Jobs
Deliverables
Utilise data lake design and planning approaches while creating a data lake
Describe the elements and services necessary to establish an AWS data lake
Protect a data lake with the proper authorisation
Data lake ingest, storing, and transformation
Data lake query, analysis, and visualisation
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