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Introduction to Designing Data Lakes on AWS

Morgan Willis and Rafael Lopes

4.7

Based on 273 ratings

, see reviews

Morgan Willis and Rafael Lopes

In this class, Introduction to Designing Data Lakes on AWS, 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.

Read more

In this class, Introduction to Designing Data Lakes on AWS, 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.

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 course 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.

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What's inside

Syllabus

Week 1

Welcome to the course! In Week 1, you'll discover why you may want a Data Lake, its characteristics and components, and how it compares to other data data scenarios, such as databases and data warehouses.

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Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Suitable for beginners looking to build a solid foundation in designing data lakes on AWS

Taught by experienced instructors Morgan Willis and Rafael Lopes

Covers the full lifecycle of data lake design, from ingestion to optimization and visualization

Emphasizes best practices and industry standards for data lake architecture

Provides ample hands-on practice through demos and exercises

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Reviews summary

Foundational aws data lake design

According to learners, this course offers a fantastic foundation for understanding data lakes on AWS. Many appreciate the clear lectures and how complex topics are simplified, making it accessible for professionals new to the subject. The well-structured content and manageable pace are frequently praised. While hands-on labs and practical examples are considered helpful, some students felt the course could benefit from deeper dives into specific AWS services and more advanced real-world scenarios, indicating it's truly an introduction rather than an in-depth mastery course.

Well-organized with a manageable learning pace.

"The content was well-structured..."

"Very well-paced and covers the essential components. The logical flow from understanding the need for a data lake to implementing basic ingestion and processing was excellent."

"The concepts are well explained and the pace is manageable."

Ideal for IT professionals new to data lakes.

"It's a great starting point for architects looking to implement data lake solutions."

"As a system administrator, this course gave me exactly what I needed to start thinking about data lake architectures."

"Good for professionals transitioning into data roles."

"Highly recommended for anyone in DevOps or architecture."

Demos and examples aid in conceptual understanding.

"The lectures were clear, and the demos were incredibly helpful for visualizing the concepts."

"The hands-on labs were very useful and solidified my understanding."

"The practical tips for optimizing performance and cost are invaluable."

"The demos were beneficial."

Explanations are simplified and easy to grasp.

"The lectures were clear, and the demos were incredibly helpful for visualizing the concepts."

"Excellent course! The explanations of complex topics were simplified beautifully, making it easy to grasp."

"The instructor is fantastic, simplifying complex ideas."

Provides a solid base for AWS data lake concepts.

"This course provided a fantastic foundation for understanding data lakes on AWS."

"Solid course for foundational knowledge. I liked the structure from 'why' to 'how'."

"As a system administrator, this course gave me exactly what I needed to start thinking about data lake architectures."

"This course is a gem for understanding the big picture of data lakes on AWS."

Offers breadth but may lack advanced, practical depth.

"I found some parts a bit too high-level, especially when discussing more advanced optimization techniques."

"While it touched on many AWS services, I felt some deeper dives were necessary, especially for Glue and Athena."

"Expected more depth. It's truly an 'introduction,' which is fine, but it barely scratches the surface on some critical services."

"It felt like a lot of theoretical knowledge without enough practical application."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Designing Data Lakes on AWS with these activities:

Review AWS Data Lake Concepts

Show steps

Review the foundational concepts of data lakes and AWS-specific data lake components.

Browse courses on Data Lakes

Show steps

Read Chapters 1-3 of the 'Amazon S3 Tutorial'
View the 'AWS Data Lakes on Cloud' YouTube Video
Complete the 'AWS Storage Services Quiz'

AWS Data Lake Resources Compilation

Show steps

Curate and organize a list of helpful articles, tutorials, and code examples for AWS data lake architecture, design, and implementation.

Browse courses on Data Lakes

Show steps

Search for and identify relevant blog posts
Find and bookmark useful tutorials and documentation
Locate and collect code examples from GitHub or other platforms
Organize the compilation using a tool like Evernote or Notion

AWS Data Lake Workshop

Show steps

Attend an AWS Data Lake workshop to gain expert insights, hands-on experience, and best practices for data lake design and implementation.

Browse courses on Data Lakes

Show steps

Research and identify relevant workshops
Register for and attend the workshop
Actively participate in the workshop activities and discussions
Apply the knowledge and skills gained to your own data lake projects

Four other activities

Expand to see all activities and additional details

Show all seven activities

AWS Data Lake Design Scenarios

Show steps

Analyze real-world design scenarios involving AWS data lakes and practice applying design principles to solve data management challenges.

Browse courses on Data Lakes

Show steps

Review the 'AWS Data Lake Architecture Blog' for use cases
Develop a list of potential data lake design scenarios
Create a solution for each scenario using AWS data lake services
Share your solutions with peers or online communities for feedback

AWS Data Lake Mini-Project

Show steps

Build a small-scale, end-to-end AWS data lake solution to gain hands-on experience with data ingestion, processing, and analysis.

Browse courses on Data Lakes

Show steps

Define the project scope and objectives
Gather and prepare the data
Design and implement the data lake architecture
Process and analyze the data
Visualize and present the results

AWS Data Lake Architecture Proposal

Show steps

Develop a comprehensive architectural proposal for an AWS data lake solution, including design, implementation, and data management strategies.

Browse courses on Data Lakes

Show steps

Identify the business requirements and data sources
Design the data lake architecture using AWS services
Develop a data ingestion and processing pipeline
Outline a data security and governance plan
Present the proposal to stakeholders for feedback and approval

AWS Data Lake Best Practices Blog Post

Show steps

Write a blog post or article summarizing the best practices and lessons learned from designing and implementing AWS data lake solutions.

Browse courses on Data Lakes

Show steps

Research and gather information on AWS data lake best practices
Outline the key points and structure of the blog post
Write and edit the blog post
Publish the blog post on a relevant platform
Promote and share the blog post to reach a wider audience

Career center

Learners who complete Introduction to Designing Data Lakes on AWS will develop knowledge and skills that may be useful to these careers:

Data Lake Engineer

Data lake engineers are responsible for designing, building, and maintaining data lakes. They work closely with data architects and data scientists to ensure that data lakes meet the needs of the business. This course may be particularly helpful for aspiring data lake engineers who want to learn how to design and build data lakes on AWS, as well as how to use AWS services for data ingestion, processing, and optimization.

See salaries and explore the career path for Data Lake Engineer

Data Engineer

Data engineers are responsible for building and maintaining data pipelines that move data between different systems. They work closely with data architects to design and implement data solutions that meet the needs of the business. This course may be particularly helpful for aspiring data engineers who want to learn how to design and build data lakes on AWS, as well as how to use AWS services for data ingestion, processing, and optimization.

See salaries and explore the career path for Data Engineer

Data Architect

Data architects are accountable for planning, designing, creating, and managing the architecture of big data systems. They combine their deep understanding of data storage, data security, and data governance principles with knowledge of business needs. This course may assist aspiring data architects by helping them comprehend data lake architecture and its characteristics, as well as best practices for data ingestion, processing, and optimization, all of which are crucial components of big data systems.

See salaries and explore the career path for Data Architect

Big Data Architect

Big data architects are responsible for designing and managing the architecture of big data systems. They work closely with data scientists and data engineers to ensure that big data systems meet the needs of the business. This course may be helpful for aspiring big data architects who want to learn how to design and build data lakes on AWS.

See salaries and explore the career path for Big Data Architect

Data Privacy Analyst

Data privacy analysts are responsible for protecting the privacy of personal data. They work with data architects, data engineers, and data scientists to ensure that data is used in a compliant and ethical manner. This course may be helpful for aspiring data privacy analysts who want to learn how to protect the privacy of data in data lakes.

See salaries and explore the career path for Data Privacy Analyst

Cloud Architect

Cloud architects are responsible for designing and managing cloud computing systems. They work with data architects and data engineers to ensure that cloud computing systems are available, reliable, and secure. This course may be helpful for aspiring cloud architects who want to learn how to design and manage data lakes in the cloud.

See salaries and explore the career path for Cloud Architect

Data Governance Analyst

Data governance analysts are responsible for developing and implementing data governance policies and procedures. They work with data architects, data engineers, and data scientists to ensure that data is used in a consistent and ethical manner. This course may be helpful for aspiring data governance analysts who want to learn how to design and implement data governance policies for data lakes.

See salaries and explore the career path for Data Governance Analyst

Data Warehouse Engineer

Data warehouse engineers are responsible for designing, building, and maintaining data warehouses. They work closely with data architects and data analysts to ensure that data warehouses meet the needs of the business. This course may be helpful for aspiring data warehouse engineers who want to learn how to design and build data lakes on AWS.

See salaries and explore the career path for Data Warehouse Engineer

Data Security Analyst

Data security analysts are responsible for protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with data architects, data engineers, and data scientists to ensure that data is secure and compliant with all applicable laws and regulations. This course may be helpful for aspiring data security analysts who want to learn how to secure data lakes.

See salaries and explore the career path for Data Security Analyst

Software Engineer

Software engineers are responsible for designing, developing, and maintaining software applications. They work with data architects and data engineers to ensure that software applications are available, reliable, and secure. This course may be helpful for aspiring software engineers who want to learn how to develop software applications that use data lakes.

See salaries and explore the career path for Software Engineer

Data Scientist

Data scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. They work on a variety of projects, such as developing predictive models, identifying trends, and creating visualizations. This course may be helpful for aspiring data scientists who want to learn how to use data lakes to store and process large datasets.

See salaries and explore the career path for Data Scientist

Data Analyst

Data analysts use their knowledge of statistics and data analysis techniques to extract insights from data. They work on a variety of projects, such as identifying trends, developing reports, and creating presentations. This course may be helpful for aspiring data analysts who want to learn how to use data lakes to store and process large datasets.

See salaries and explore the career path for Data Analyst

Network Administrator

Network administrators are responsible for managing and maintaining computer networks. They work with data architects and data engineers to ensure that computer networks are available, reliable, and secure. This course may be helpful for aspiring network administrators who want to learn how to manage and maintain data lakes.

See salaries and explore the career path for Network Administrator

Database Administrator

Database administrators are responsible for managing and maintaining databases. They work with data architects and data engineers to ensure that databases are available, reliable, and secure. This course may be helpful for aspiring database administrators who want to learn how to manage and maintain data lakes.

See salaries and explore the career path for Database Administrator

Systems Administrator

Systems administrators are responsible for managing and maintaining computer systems. They work with data architects and data engineers to ensure that computer systems are available, reliable, and secure. This course may be helpful for aspiring systems administrators who want to learn how to manage and maintain data lakes.

See salaries and explore the career path for Systems Administrator

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Designing Data Lakes on AWS.

Cover image

Cover image

Designing Data-Intensive Applications

Save

Provides a comprehensive guide to designing data-intensive applications, including data lakes. It covers the key challenges of data management at scale, as well as best practices for data modeling, processing, and storage.

Designing Data-Intensive Applications: The Big...

Designing Data-Intensive Applications: The Big...

Cover image

Cover image

Big Data Analytics with Java

Save

Provides a practical guide to using Java for big data analytics, including data lakes. It covers the key APIs and libraries for data ingestion, processing, and storage, as well as best practices for developing and deploying data analytics applications.

Big Data Analytics with Java: Data analysis,...

Big Data Analytics with Java: Data analysis,...

Cover image

Cover image

The Pluto System After New Horizons

Save

Provides a non-technical introduction to data lakes, including their benefits and challenges. It covers the key components of a data lake, as well as best practices for data governance and security.

The Pluto System After New Horizons (The University...

The Pluto System After New Horizons (The University...

Cover image

Cover image

Natural Computing: DNA, Quantum Bits, and the...

Save

Data Analytics for Beginners beginner-friendly textbook that provides a great starting point for those with little to no background in data analytics. It may be helpful for students new to the field who wish to gain foundational knowledge before delving into the course content

Natural Computing: DNA, Quantum Bits, and the...

Natural Computing: DNA, Quantum Bits, and the...

Cover image

Cover image

Data Science for Business

Save

Provides an introduction to data science for business professionals. It covers the key concepts and techniques of data science, such as data mining, machine learning, and data visualization.

Data Science for Business: What You Need to Know...

Data Science for Business: What You Need to Know...

Cover image

Cover image

Data Analytics & Visualization All-in-One For...

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Machine Learning for Dummies beginner-friendly introduction to machine learning. It covers the key concepts and techniques of machine learning, such as supervised learning, unsupervised learning, and reinforcement learning.

Data Analytics & Visualization All-in-One For...

Data Analytics & Visualization All-in-One For...

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Course image

Rating

4.7

Effort

Approx. 11 hours

Level

Intermediate

Via

Coursera

Institution

Amazon Web Services

Instructors

Morgan Willis

Rafael Lopes

Language

English

Transcripts

Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова magyar nyelv Bahasa Indonesia ไทย қазақша اُردُو, فارسی বাংলা پښتو آذربایجان دیلی

This course belongs to a collection called AWS Cloud Solutions Architect . It's comprised of three courses:

Architecting Solutions on AWS
Exam Prep: AWS Certified Solutions Architect - Associate
Introduction to Designing Data Lakes on AWS (viewing)

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Suitable for beginners looking to build a solid foundation in designing data lakes on AWS

Taught by experienced instructors Morgan Willis and Rafael Lopes

Covers the full lifecycle of data lake design, from ingestion to optimization and visualization

Emphasizes best practices and industry standards for data lake architecture

Provides ample hands-on practice through demos and exercises

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