Building Data Lakes on AWS
Course description
In this course, you will develop an operational data lake that allows the study of structured and unstructured data. You will gain knowledge of the elements and features of the services used to build a data lake. You will create a data lake using AWS Lake Formation, a data catalog with AWS Glue, and data analysis with Amazon Athena. Your understanding is furthered by examining numerous typical data lake structures in the course lectures and laboratories.
Activities
This AWS training will include the following activities:
- Live Demonstrations
- Group Discussions
- Presentations
- Knowledge Checks
Course Objectives
Intended Audience
Prerequisites
Module Breakdown
Module 1: Introduction to data lakes
- Describe the value of data lakes
- Compare data lakes and data warehouses
- Describe the components of a data lake
- Recognize common architectures built on data lakes
Module 2: Data ingestion, cataloging, and preparation
- Describe the relationship between data lake storage and data ingestion
- Describe AWS Glue crawlers and how they are used to create a data catalog
- Identify data formatting, partitioning, and compression for efficient storage and query
- Lab 1: Set up a simple data lake
Module 3: Data processing and analytics
- Recognize how data processing applies to a data lake
- Use AWS Glue to process data within a data lake
- Describe how to use Amazon Athena to analyze data in a data lake
Module 4: Building a data lake with AWS Lake Formation
- Describe the features and benefits of AWS Lake Formation
- Use AWS Lake Formation to create a data lake
- Understand the AWS Lake Formation security model
- Lab 2: Build a data lake using AWS Lake Formation
Module 5: Additional Lake Formation configurations
- Automate AWS Lake Formation using blueprints and workflows
- Apply security and access controls to AWS Lake Formation
- Match records with AWS Lake Formation FindMatches
- Visualize data with Amazon QuickSight
- Lab 3: Automate data lake creation using AWS Lake Formation blueprints
- Lab 4: Data visualization using Amazon QuickSight
Module 6: Architecture and course review
- Post course knowledge check
- Architecture review
- Course review
CERTIFICAITON : AWS CERTIFIED DATA ANALYTICS - SPECIALTY
This certification enables businesses to find and nurture personnel with the essential competencies to carry out cloud activities. AWS Certified Data Analytics – Specialty status verifies knowledge of how to use AWS data lakes and analytics services to extract insights from data.
Read MoreEXAM READINESS: AWS CERTIFIED DATA ANALYTICS - SPECIALTY
The AWS Certified Data Analytics – Specialty exam verifies candidates’ proficiency in building, deploying, and fine-tuning data models, as well as in utilizing AWS services to scale up this process. In this intermediate-level course, learn how to study for the exam by reviewing the subject areas and how they relate to Data analysis on AWS.
Read MoreFAQ's
Is Cloud Wizard Consulting an official AWS training partner?
Yes, we have been since 2015.
Who should take up this course?
You can take on this course if you belong to the following category of individuals:
- Data platform engineers
- Solutions architects
- IT professionals
What prior experience do you need for this course?
To qualify for taking up this course, you’ll need the following:
- Completed the AWS Technical Essentials classroom course
- One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
How do I enroll in this course?
To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.
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Course Schedule
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