The course is part of this learning path
Many organizations have implemented data lakes to great success, giving them a tactical business edge through the use of data analysis and predictive analytics.
This course covers the basics of data lakes, how they are different from data warehouses, and the components that make up a successful data lake.
Learning Objectives
- Understand the difference between data warehouses and data lakes
- Know what qualities make up a good data lake.
- Learn about AWS Lake Formation and how it can transform the process of creating a data lake from taking months to days
Intended Audience
This course is intended for anyone who is responsible for managing business data or for those interested in creating a data lake in general.
Prerequisites
To get the most out of this course, you should have a decent understanding of cloud computing and cloud architectures, specifically with Amazon Web Services.
Hello, my name is Will Meadows and today we will be talking about data lakes and AWS Lake Formation. Many organizations have implemented data lakes to great success, giving them a tactical business edge through the use of data analysis and predictive analytics. This lecture will cover the basics of data lakes, how they are different from data warehouses, and the components that make up a successful data lake.
If you have any questions about anything I cover in this series please let me know at will.meadows@cloudacademy.com
Alternatively, you can always get in touch with us here at Cloud Academy by sending an email to support@cloudacademy.com and one of our cloud experts will reply to your question, concern, or comment.
I would recommend this course for anyone who is responsible for managing business data, or for those interested in creating a data lake in general.
After completing this course you will understand the difference between data warehouses and data lakes.
You will know what qualities make up a good data lake.
You will have an understanding of AWS Lake Formation and how it can transform the process of creating a data lake from taking months to days.
You should have a decent understanding of cloud computing and cloud architectures, specifically with Amazon Web Services.
A background with data analytics might be helpful, but at least a passing interest is required.
Feedback on our courses here at Cloud Academy are valuable to both us as trainers and any students looking to take the same course in the future. If you have any feedback, positive or negative, it would be greatly appreciated if you could send an email to support@cloudacademy.com.
Please note that, at the time of writing this content, all course information was accurate. AWS implements hundreds of updates every month as part of its ongoing drive to innovate and enhance its services. As a result, minor discrepancies may appear in the course content over time. Here at Cloud Academy, we strive to keep our content up to date in order to provide the best training available. So, if you notice any information that is outdated, please contact support@cloudacademy.com. This will allow us to update the course during its next release cycle.
William Meadows is a passionately curious human currently living in the Bay Area in California. His career has included working with lasers, teaching teenagers how to code, and creating classes about cloud technology that are taught all over the world. His dedication to completing goals and helping others is what brings meaning to his life. In his free time, he enjoys reading Reddit, playing video games, and writing books.