Learn how the services fit together to provide comprehensive analytics solutions.
- [Lynn] It's an exciting time to work…in data analytics in the Cloud.…There's a number of new paradigms…which manifest in new services.…We talk a lot about serverless,…and I think that's the biggest new trend…driving new types of analytics.…It's a little bit intimidating…to look at Amazon's view of the analytics world,…but I want to show it here…because it's also kind of exciting.…You can see in this very densely packed slide…there are many different options in the way…for you to set up analytics for your data.…From the highest level you can see…that you have for storage you have caching,…NoSQL and SQL, you have files, and you have streams.…
Then you have lots of ETL,…and you have choices around processing and analyzing,…and we've looked at streaming, batching, and interactive…in this course.…It's really important to also learn…about predictive analytics because more and more,…including predictive analytics…is part of an analytics solution;…and no solution is useful if the end user can't get value.…I think it's always very important…
- Explain the difference between files and databases.
- Identify examples of batching, micro-batching, and streaming.
- Prepare helpful data visualizations with QuickSight.
- Recognize the different types of analytics available in AWS.
- Demonstrate how to set up AWS CLI.
- Describe common analytics architecture patterns.
Skill Level Intermediate
Amazon Web Services for Data Sciencewith Lynn Langit3h 56m Intermediate
1. Analytics on AWS
2. Analytic Services
3. AWS Code Tools for Analytics
4. Advanced Analytics
Next steps1m 20s
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.