Use AWS Cloud9 cloud-based IDE to access AWS DynamoDB tables using the AWS CLI scripting tool and the AWS SDK for node.js.
- In addition to the tools that we've looked at,…AWS CLI and AWS SDK, there's a new tool…for programmatically interacting…with Amazon Services, it's called AWS Cloud9.…And what it is, is a cloud based IDE,…as it says here, for writing, running, and bebugging code.…As of this recording, it's pretty new.…It's just been out for a couple of months,…but it has some great possibilities…for improving your productivity.…Because, as it says here,…you've got tools like a pre configured CLI…and it's probably easiest to see how it works…by clicking on the orange create environment…and then working with our environments.…
So let's do that.…I'm going to call this, Demo AWS…and click next step.…I'm going to accept the defaults and…scroll down and click next step.…I'm going to scroll down the click create environment.…Now this takes a couple of minutes,…so I'm going to go ahead and pause the video,…while this is spinning up.…
So we waited five minutes, and…now we're in a browser based code IDE…that also includes the AWS CLI.…So here we have a Bash shell and…
- AWS analytics design concepts
- Files vs. databases
- Which analytics type to use
- Using code tools for analytics
- AWS IoT device message analytics
- Working with data using Spark commands
- Using AWS QuickSight for visualizations
- Top analytics architectural patterns and their associated AWS services
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
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