AWS Data Ecosystem

Data Lake
Data Warehouses
Data Marts
The data lake
Amazon Simple Storage Service (Amazon S3) is object storage with a simple web service interface to store and retrieve any amount of data from anywhere on the web. It is designed to deliver 99.999999999% durability, and scale past trillions of objects worldwide.
Customers use S3 as primary storage for cloud-native applications; as a bulk repository, or “data lake,” for analytics; as a target for backup & recovery and disaster recovery; and with serverless computing.
– Can run SQL queries against the data
– The input data is stored in it’s original state
– Ability to attach meta data to objects stored in S3 (allows us to literally query and filter things like heart rate events for a specific class directly on the s3 store)
This allows us to operate as a schema on read data lake. This allows the data to build the app, rather than have the app constrain the data. We just provide an ecosystem that encourages this process. S3 is even more powerful with the ability to store meta data directly on the objects themselves. This means we can tag sensor events by the actual member that produced them, and query those results directly from the lake.
Price and calculator

Storage Pricing (varies by region)

US East (Ohio)

Standard Storage Standard – Infrequent Access Storage † Glacier Storage
First 50 TB / month $0.023 per GB $0.0125 per GB $0.004 per GB
Next 450 TB / month $0.022 per GB $0.0125 per GB $0.004 per GB
Over 500 TB / month $0.021 per GB $0.0125 per GB $0.004 per GB

Request Pricing

Amazon S3 request costs are based on the request type, and are charged on the quantity of requests or the volume of data retrieved as listed in the table below.
US East (Ohio)

For Requests Not Otherwise Specified Below
PUT, COPY, POST, or LIST Requests $0.005 per 1,000 requests
GET and all other Requests $0.004 per 10,000 requests
Delete Requests Free †
For Standard – Infrequent Access Requests
PUT, COPY, or POST Requests $0.01 per 1,000 requests
GET and all other Requests $0.01 per 10,000 requests
Lifecycle Transition Requests into Standard – Infrequent Access $0.01 per 1,000 requests
Data Retrievals $0.01 per GB
For Glacier Requests
Lifecycle Transition Requests into Glacier $0.05 per 1,000 requests
Glacier Retrieval Fees See Glacier Pricing Page
 No charge for delete requests of Standard objects. Objects that are archived to Glacier have a minimum 90 days of storage, and objects deleted before 90 days incur a pro-rated charge equal to the storage charge for the remaining days. Learn more. Objects that are in Standard – Infrequent Access have a minimum 30 days of storage, and objects that are deleted, overwritten, or transitioned to a different storage class before 30 days incur a pro-rated charge equal to the storage charge for the remaining days. Learn more.

Data Transfer Pricing

The pricing below is based on data transferred “in” to and “out” of Amazon S3 (over either Direct Connect or the public Internet). Transfers between S3 buckets or from S3 to any service(s) within the same region are free.
US East (Ohio)

Data Transfer IN To Amazon S3
All data transfer in $0.000 per GB
Data Transfer OUT From Amazon S3 To
Amazon EC2 in the same region $0.000 per GB
US East (N. Virginia) $0.010 per GB
Another AWS Region $0.020 per GB
Amazon CloudFront $0.000 per GB
Data Transfer OUT From Amazon S3 To Internet
First 1 GB / month $0.000 per GB
Up to 10 TB / month $0.090 per GB
Next 40 TB / month $0.085 per GB
Next 100 TB / month $0.070 per GB
Next 350 TB / month $0.050 per GB
Next 524 TB / month Contact Us
Next 4 PB / month Contact Us
Greater than 5 PB / month Contact Us
The data store
Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL with the security, availability, and reliability of a commercial database at one tenth the cost.
The data mart(s)
Data Mart A data mart is a simple form of data warehouse focused on a specific functional area or subject matter. For example, you can have specific data marts for each division in your organization or segment data marts based on regions. You can build data marts from a large data warehouse, operational stores, or a hybrid of the two. Data marts are simple to design, build, and administer. However, because data marts are focused on specific functional areas, querying across functional areas can become complex because of the distribution.






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