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How to make Data Science appealing
with open source software
Big Data & Analytics Competency Center
EclipseDay Milano, 22/09/2017
www.eng.it
www.eng.it
REPORTING & VISUALIZATION
A good presentation does not generate any
additional value, but makes the value
accessible and understandable
INSIGHTS
Discovering and understanding the
behaviors, patterns and trends that may
be concealed in the data
Data Science in a nutshell
INFERENCE
Learn from the examples in order to
foresee what is going to happen next
SCALABILITY
Scalable applications and algorithms
are needed to deal with great
amounts of data
www.eng.it
What does the market ask?
CUSTOMIZATION
www.eng.it
Our recipe
www.eng.it
What we do
Predictive Maintenance
Anomaly Detection
Text Analytics
Supervised Learning
Recommender Systems
Churn Analysis
Active Learning
Reinforcement Learning
Unsupervised Learning
www.eng.it
Open Source makes Data Science appealing!
reproducibility
standardization
accessibility
no additional costs
ease of integration
no technological lock-in
great variety of visualization tools
huge variety of algorithms
www.eng.it
Big Data Science Lab
Meet us
halfway!
PoC and
demos
Analytics
lifecycle
Overview of the whole lifespan of our applications
Adaptable and modular solutions to many business issues
Aimed at making business solutions accessible and
understandable in every context
www.eng.it
FRONT-END CARE
BDSL gives us a possibility to empower our
communication and visualization tools
VARIETY
BDSL keeps a great number of different
applications under the same roof
Why BDSL?
PARALLELIZATION
BDSL is a useful resource to handle
computationally demanding tasks
CLOUD INFRASTRUCTURE
BDSL is totally based on Engineering
Private Cloud
COLLABORATION
Collaborative development and resource
sharing are at the top of our priorities
TECHNOLOGY SCOUTING
BDSL is a great chance to look for new
technologies and test their performance
www.eng.it
Standalone
PoC & projects
REST services
and Micro-Services
BDSL Components
Big Data RepositoriesSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for
business
www.eng.it
Why Micro-Services?
COMMITTED TO THE MARKET
Aimed at fulfilling what the
market and the company
demand
RE-USABLE SOLUTIONS
Ease of use in completely
different contexts and projects
May be composable according
to one’s needs
CUSTOMIZATION
Among our services:
● Predictive algorithms
● Text tagger
● #Recommender
● Sentiment Analysis
● NE recognizer
● Semantic analysis
● Topic labeller
www.eng.it
Custom
Libraries &
Applications
Web
Microframework
Frontend
REST
services
LDAP
Authentication
Application endpointsREST service endpoint
Micro-Services and Micro-Applications
www.eng.it
Standalone
PoC & projects
REST services
and Micro-Services
BDSL Components
Big Data RepositoriesSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for
business
www.eng.it
Our solutions
www.eng.it
Standalone
PoC & projects
REST services
and Micro-Services
BDSL Components
Big Data DBsSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for
business
www.eng.it
Storytelling is a key factor!
www.eng.it
Advanced Visualization and Data integration
BDSL also features:
www.eng.it
Thank you!
Matteo Sartori
Data Scientist
Big Data & Analytics Competency Center
Engineering Group
matteo.sartori@eng.it
https://www.linkedin.com/in/matteosartori/
Michele Gabusi
Data Scientist
Big Data & Analytics Competency Center
Engineering Group
michele.gabusi@eng.it
https://www.linkedin.com/in/michele-gabusi-a2a76427/
Twitter: @michele_gabusi
@EngineeringSpa

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EclipseDay Milano 2017 - How to make Data Science appealing with open source software

  • 1. How to make Data Science appealing with open source software Big Data & Analytics Competency Center EclipseDay Milano, 22/09/2017 www.eng.it
  • 2. www.eng.it REPORTING & VISUALIZATION A good presentation does not generate any additional value, but makes the value accessible and understandable INSIGHTS Discovering and understanding the behaviors, patterns and trends that may be concealed in the data Data Science in a nutshell INFERENCE Learn from the examples in order to foresee what is going to happen next SCALABILITY Scalable applications and algorithms are needed to deal with great amounts of data
  • 3. www.eng.it What does the market ask? CUSTOMIZATION
  • 5. www.eng.it What we do Predictive Maintenance Anomaly Detection Text Analytics Supervised Learning Recommender Systems Churn Analysis Active Learning Reinforcement Learning Unsupervised Learning
  • 6. www.eng.it Open Source makes Data Science appealing! reproducibility standardization accessibility no additional costs ease of integration no technological lock-in great variety of visualization tools huge variety of algorithms
  • 7. www.eng.it Big Data Science Lab Meet us halfway! PoC and demos Analytics lifecycle Overview of the whole lifespan of our applications Adaptable and modular solutions to many business issues Aimed at making business solutions accessible and understandable in every context
  • 8. www.eng.it FRONT-END CARE BDSL gives us a possibility to empower our communication and visualization tools VARIETY BDSL keeps a great number of different applications under the same roof Why BDSL? PARALLELIZATION BDSL is a useful resource to handle computationally demanding tasks CLOUD INFRASTRUCTURE BDSL is totally based on Engineering Private Cloud COLLABORATION Collaborative development and resource sharing are at the top of our priorities TECHNOLOGY SCOUTING BDSL is a great chance to look for new technologies and test their performance
  • 9. www.eng.it Standalone PoC & projects REST services and Micro-Services BDSL Components Big Data RepositoriesSchedulers Interpreters Distributed Computing Visualization tools Web Microframework solutions for business
  • 10. www.eng.it Why Micro-Services? COMMITTED TO THE MARKET Aimed at fulfilling what the market and the company demand RE-USABLE SOLUTIONS Ease of use in completely different contexts and projects May be composable according to one’s needs CUSTOMIZATION Among our services: ● Predictive algorithms ● Text tagger ● #Recommender ● Sentiment Analysis ● NE recognizer ● Semantic analysis ● Topic labeller
  • 12. www.eng.it Standalone PoC & projects REST services and Micro-Services BDSL Components Big Data RepositoriesSchedulers Interpreters Distributed Computing Visualization tools Web Microframework solutions for business
  • 14. www.eng.it Standalone PoC & projects REST services and Micro-Services BDSL Components Big Data DBsSchedulers Interpreters Distributed Computing Visualization tools Web Microframework solutions for business
  • 16. www.eng.it Advanced Visualization and Data integration BDSL also features:
  • 17. www.eng.it Thank you! Matteo Sartori Data Scientist Big Data & Analytics Competency Center Engineering Group matteo.sartori@eng.it https://www.linkedin.com/in/matteosartori/ Michele Gabusi Data Scientist Big Data & Analytics Competency Center Engineering Group michele.gabusi@eng.it https://www.linkedin.com/in/michele-gabusi-a2a76427/ Twitter: @michele_gabusi @EngineeringSpa