The presentation supported the speech by Matteo Sartori and Michele Gabusi (Data Scientists, Engineering Group’s Big Data & Analytics Competency Center) at EclipseDay Milano 2017.

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

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What does the market ask?
CUSTOMIZATION

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Our recipe

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What we do
Predictive Maintenance
Anomaly Detection
Text Analytics
Supervised Learning
Recommender Systems
Churn Analysis
Active Learning
Reinforcement Learning
Unsupervised Learning

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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

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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

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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

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Standalone
PoC & projects
REST services
and Micro-Services
BDSL Components
Big Data RepositoriesSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for
business

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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

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Custom
Libraries &
Applications
Web
Microframework
Frontend
REST
services
LDAP
Authentication
Application endpointsREST service endpoint
Micro-Services and Micro-Applications

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Standalone
PoC & projects
REST services
and Micro-Services
BDSL Components
Big Data RepositoriesSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for
business

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Our solutions

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Standalone
PoC & projects
REST services
and Micro-Services
BDSL Components
Big Data DBsSchedulers
Interpreters Distributed Computing Visualization tools
Web Microframework
solutions for
business

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Storytelling is a key factor!

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Advanced Visualization and Data integration
BDSL also features:

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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