Join Ryan Spence for an in-depth discussion in this video AWS for big data inside organization, part of Planning an AWS Solution (2017).
- [Instructor] Now that we have the AWS components built…to capture data outside of the organization,…let's turn to the components we need…inside of the organization.…Data solutions for inside of the organization…we will use are S3 for data storage,…Redshift for large data analysis,…and QuickSight for data visualization.…Back at the management console and S3.…Amazon S3 functions by creating buckets.…
A bucket is where your data will be located.…So, let's go to Create a Bucket to get started.…Our bucket name is going to be AWS Example Solution.…Now, remember, our company is in the east coast,…so we're going to go from Ohio to Virginia.…We have no other buckets.…We'll select Next.…We have the option to set larger properties,…tags, logging, and versioning,…but this is just an example…and none of these properties are going to help our example,…so we'll select Next.…
You can set permissions.…As an example, and since I'm the administrator,…we're going to leave all of these selected.…We can add an account if we want…to invite other administrators here.…
- Comparing AWS to previous IT solutions
- Benefits of AWS
- AWS security and pricing
- Building big data on AWS
- Cloud storage and databases
- Data warehousing
- Backing up data
- AWS for mobile services
- IoT approaches
Skill Level Intermediate
1. Getting to Know Amazon Web Services (AWS)
2. Building Big Data on AWS
3. Backing Up Data with AWS
4. Mobile Solutions Using AWS
5. IoT Approaches with AWS
AWS Greengrass1m 52s
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