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Suricate
Open Data Science Platform
http://www.engjoy.eu
tl;dr
Suricate allows:
â—Ź you to upload or stream data
â—Ź a Data Scientist to perform Analytics
(using Python or …) and visualize the
results.
â—Ź supports the processing and decision
making (trigger actions) on the results of
the analysis. Thereby creation of
continuously adjusted agile Systems &
Strategies based on up-to-date insights.
Data Science Platform
ProcessingAnalyticsData
Aggregate
Interact
Act
Compute
Aggregate Interact Compute Act
Stream data into the
service or upload the
data in an internal or
external Storage
(Object, Relational,
etc). The data can then
be aggregated,
preprocessed and
cached.
Use Python interactive
scripting capabilities to
perform analytics and
visualize the results.
The Data Scientist can
interact with the
Service via a Web UI or
REST API.
Uses Cloud Computing
features to perform the
computational aspect
of the analytics.
Process the learned
models and trigger
actions on insights
gained, to create agile
Systems & Strategies.
ProcessingAnalyticsData Aggregate
Interact
Act
Compute
Stream
or
Upload
â—Ź Compute
Cloud
â—Ź Hadoop as
a Service
â—Ź ...
Agile
Strategies
or
Systems
Browser
RESTful
API
Use case: NFL statistics
Suricate Service
live game
feed
4. stream
game analysis
game
processing5. analyze
stream
7. trigger
analysis
Suggestions
2. analyze
game
statistics
3. provide
model
6a.
suggest
game
statistics
6b. update
statistics
Data
Scientist
1. Provide user defined logic
and user defined data.
Suricate’s architecture
Suricate Open Data Science Service
Web based UI
Storage
Data
Scientist
1. Provide user defined logic
and user defined data.
RESTful API
API
Execution node
(per tenant)Execution node
(per tenant)Execution node
(per tenant)
Messaging
Data
Source
Stream/Upload
Suricate as Cloud Service
Features
â—Ź Runs as a service in the cloud with user isolation, scaling features etc.
â—Ź Provides ways of uploading / streaming of data
â—Ź Organization of Python/R/Julia notebooks in projects
â—Ź Within the interactive Python notebooks the definition of user-defined
logic for analytics and processing (decision taking) of data is supported
â—‹ Supports many existing packages for visualization and analytics like
Pandas, scikit-learn, NumPy, …
â—Ź Offers an RESTful API to support machine based interactions to trigger
the analytics and processing
â—Ź Provides hooks to interact with external systems
â—Ź Easy to deploy (as WSGI application) into existing private and public
clouds
â—Ź (Optional) Integration with Hadoop and IaaS based service to enhance
the computational aspects
â—Ź ...
Resources
mailto: info@engjoy.eu
http://www.engjoy.eu

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Analyze Stream Data & Trigger Actions with Suricate Open Data Science Platform

  • 1. Suricate Open Data Science Platform http://www.engjoy.eu
  • 2. tl;dr Suricate allows: â—Ź you to upload or stream data â—Ź a Data Scientist to perform Analytics (using Python or …) and visualize the results. â—Ź supports the processing and decision making (trigger actions) on the results of the analysis. Thereby creation of continuously adjusted agile Systems & Strategies based on up-to-date insights.
  • 3. Data Science Platform ProcessingAnalyticsData Aggregate Interact Act Compute Aggregate Interact Compute Act Stream data into the service or upload the data in an internal or external Storage (Object, Relational, etc). The data can then be aggregated, preprocessed and cached. Use Python interactive scripting capabilities to perform analytics and visualize the results. The Data Scientist can interact with the Service via a Web UI or REST API. Uses Cloud Computing features to perform the computational aspect of the analytics. Process the learned models and trigger actions on insights gained, to create agile Systems & Strategies.
  • 4. ProcessingAnalyticsData Aggregate Interact Act Compute Stream or Upload â—Ź Compute Cloud â—Ź Hadoop as a Service â—Ź ... Agile Strategies or Systems Browser RESTful API
  • 5. Use case: NFL statistics Suricate Service live game feed 4. stream game analysis game processing5. analyze stream 7. trigger analysis Suggestions 2. analyze game statistics 3. provide model 6a. suggest game statistics 6b. update statistics Data Scientist 1. Provide user defined logic and user defined data.
  • 6. Suricate’s architecture Suricate Open Data Science Service Web based UI Storage Data Scientist 1. Provide user defined logic and user defined data. RESTful API API Execution node (per tenant)Execution node (per tenant)Execution node (per tenant) Messaging Data Source Stream/Upload
  • 8. Features â—Ź Runs as a service in the cloud with user isolation, scaling features etc. â—Ź Provides ways of uploading / streaming of data â—Ź Organization of Python/R/Julia notebooks in projects â—Ź Within the interactive Python notebooks the definition of user-defined logic for analytics and processing (decision taking) of data is supported â—‹ Supports many existing packages for visualization and analytics like Pandas, scikit-learn, NumPy, … â—Ź Offers an RESTful API to support machine based interactions to trigger the analytics and processing â—Ź Provides hooks to interact with external systems â—Ź Easy to deploy (as WSGI application) into existing private and public clouds â—Ź (Optional) Integration with Hadoop and IaaS based service to enhance the computational aspects â—Ź ...