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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.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/alh96c/introduction
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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.
Read more
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.
Read more
Traffic lights
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
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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 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.
Data 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.
Data Architect
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.
Big 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.
Data Privacy Analyst
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.
Cloud Architect
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.
Data Governance Analyst
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.
Data Warehouse Engineer
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.
Data Security Analyst
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.
Software Engineer
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.
Data Scientist
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.
Data Analyst
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.
Network Administrator
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.
Database 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.
Systems 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.
For more career information including salaries, visit:
OpenCourser.com/course/alh96c/introduction
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.
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.
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.
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.
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
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/alh96c/introduction
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Rating
4.7
Effort
Approx. 11 hours
Level
Intermediate
Via
Coursera
Institution
Amazon Web Services
Instructors
Morgan Willis
Rafael Lopes
Language
English
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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)
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