About

In this Introduction to Designing Data Lakes on AWS course offered by Coursera in partnership with Amazon Web Services, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science! Starting with the "WHY" you may want a data lake, we will look at the Data-Lake value proposition, characteristics and components.

Overview

Designing a data lake is challenging because of the scale and growth of data. Developers need to understand best practices to avoid common mistakes that could be hard to rectify. In this Introduction to Designing Data Lakes on AWS course offered by Coursera in partnership with Amazon Web Services we will cover the foundations of what a Data Lake is, how to ingest and organize data into the Data Lake, and dive into the data processing that can be done to optimize performance and costs when consuming the data at scale. This course is for professionals (Architects, System Administrators and DevOps) who need to design and build an architecture for secure and scalable Data Lake components. Students will learn about the use cases for a Data Lake and, contrast that with a traditional infrastructure of servers and storage.

What you'll learn

Where to start with a Data Lake?
How to build a secure and scalable Data Lake?
What are the common components of a Data Lake?
Why do you need a Data Lake and what it's value?

Programme Structure

Course structure:

Designing Data Lakes in AWS

Why Data Lakes

Characteristics of Data Lakes

Data Lakes Components

Comparison of a Data Lake to a Data Warehouse

Discussing Sample Data Lake Architectures

Key information

Duration

Part-time
- 1 days

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 417 other Short Courses in Web Technologies & Cloud Computing in United States

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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.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

Free
Out-of-State

Free

Additional Details

Audit: free access to course materials except graded items
Certificate: a trusted way to showcase your skills
A year of unlimited access with Coursera Plus $199

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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Introduction to Designing Data Lakes on AWS Coursera