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Data Sources Ingest Process, Store, Catalog Act on Data
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Databases
Sensors
LIMS
Scale (Batch)
Source crawlers
Speed (Real-time)
Machine Learning/Auditing
Event Driven Alerts/Tasks
Endpoint Driven Alerts
AWS
DataSync
Raw S3 Bucket
Event Capture
Amazon Kinesis
Amazon SNS Lambda
function
Amazon
API Gateway
AWS
Glue
Legacy Apps
& 3rd Party
Direct Query
Amazon Athena
Data
Scientist
Data
Analyst
Business
Users
Engagement
Platforms
Automation/
Events
Visualization
Amazon QuickSight
Schemaless
Amazon
ElasticSearch
Amazon
Rekognition
Amazon
Machine
Learning
Semi/
Unstructured
Amazon EMR
Reported State
Mobile Clients
Applications
ETL and data prep
Data catalog
Security settings
Amazon S3
Data Lake Storage
AWS
Lake Formation
Access control
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COLLECT AND INGEST DATA
Extract and transform data using tools like AWS Glue,
and pull on-site files and shares to the cloud for secure
back-up of experimental data with AWS Storage
Gateway and AWS DataSync. Collect, process, and
analyze video and data streams from the lab in real time
for workflow optimization with Amazon Kinesis.
PROCESS, STORE AND
CATALOG DATA
Build data lakes quickly, simplify and enforce security
and access management, and then tag and process data
to provide self-service access for researchers and lab
personnel using AWS Lake Formation.
ACT ON DATA
Leverage Amazon Quicksight and third-party business
intelligence (BI) tools for data visualization. Provide real-
time feedback via emails and text message using Amazon
SNS to understand experiment status from anywhere.
Utilize AI/ML to automate workflows and reduce repetitive
research tasks by leveraging Amazon SageMaker.
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