Type
Virtual
Classroom ILT
Skill Level
Available dates
Learning Path
Virtual
Duration
1 Day
TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL
DURATION
AVAILABLE DATES
Introduction
In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.
Audience profile
This course is intended for:
- Data Platform engineers
- Solutions Architects
- IT Professionals
Pre-requisites
It is recommended that attendees of this course have:
- Attended AWS Technical Essentials course
- One year of experience building data analytics pipelines
Course objectives
This course is designed to teach you how to:
- Apply data lake methodologies in planning and designing a data lake
- Articulate the components and services required for building an AWS data lake
- Secure a data lake with appropriate permission
- Ingest, store, and transform data in a data lake
- Query, analyze, and visualize data within a data lake
Course content
Session 1: Introduction to Data Lakes | |
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Session 2: Data ingestion, cataloging, and preparation | |
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Session 3: Data processing and analytics | |
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Session 4: Building a data lake with AWS Lake Formation | |
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Session 5: Additional Lake Formation configurations | |
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Session 6: Architecture and course review | |
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Associated certifications and exam
N/A
Amazon Web Services Overview
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