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Overview
The Building Data Lakes on AWS course offered by Coursera in partnership with Amazon Web Services is typically designed for individuals with a basic understanding of data storage and processing concepts but little to no prior experience with building data lakes on AWS specifically.
The course will continue with an AWS Lake Formation overview, including a hands-on lab where you'll build a data lake. You'll then be introduced to data processing and analytics leveraing AWS Glue before diving into automated data lake creatiokn using Lake Formation blueprints. Finally,you'll close with Modern Data Architectures on AWS with a lab that covers publishing and consuming data products as a service.
What you'll learn
- Apply data lake methodologies in planning and designing a data lake.
- Describe the components and services required for building an AWS data lake.
- Compare the ways data can be ingested, stored, and transformed in a data lake.
- Explain how to secure a data lake with appropriate permissions.
Programme Structure
Course structure:
- Data Lake vs Data Warehouse
- Data Lake Storage
- Data Ingestion
- Crawl and Catalog Data
- Data Processing with AWS Glue
- Using Blueprints and Workflows
- Modern Data Architecture
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Web Technologies & Cloud Computing View 463 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- We recommend that attendees of this course have previously completed the AWS Cloud Technical Essentials digital course.
- This course is aimed at learners and professionals with basic data knowledge who want to develop skills in designing, building, and managing data lakes on AWS using core services and architectures.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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