BIG DATA conference Jean-Antoine Moreau https://sites.google.com/site/jammooc/ Copyright managed by the ADAGP www.adagp.fr

1. BBIIGG DDAATTAA
LLeessssoonn 11
Study : Jean-Antoine Moreau (Engineer - Lecturer)
© Jean-Antoine Moreau
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Managing my copyright ADAGP.

2. © Jean-Antoine
Moreau
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"Information is the oil of the 21st century, and
analytics is the combustion engine."
Peter Sondergaard
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3. © Jean-Antoine
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BBiigg DDaattaa
• Choose
• Transform;
• Convert;
• Scrutinized;
• Analyzed;
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4. © Jean-Antoine
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BBiigg DDaattaa
• acquire knowledge by type (kind) of ddaattaa;
• acquire knowledge by type (kind) of ccoonntteenntt;
• acquire knowledge by type (kind) of uusseerr;
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5. © Jean-Antoine
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BBiigg DDaattaa
More informations for
a GGlloobbaall BBuussiinneessss
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6. © Jean-Antoine
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BBiigg DDaattaa
• Data Management
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7. © Jean-Antoine
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BBiigg DDaattaa
• Data Storage
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8. © Jean-Antoine
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BBiigg DDaattaa
• Data Analysis
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9. © Jean-Antoine
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BBiigg DDaattaa
• Data Efficiency
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10. © Jean-Antoine
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BBiigg DDaattaa
• Data Performances
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11. © Jean-Antoine
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BBiigg DDaattaa
• Data Processing
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12. © Jean-Antoine
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are impacted by the big volume
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13. © Jean-Antoine
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BBiigg DDaattaa
Programming Model
Standardization
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14. © Jean-Antoine
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The data’s efficiency
The data have a productivity
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15. © Jean-Antoine
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Efficiency
Cost
Process
DATA
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16. © Jean-Antoine
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BBiigg DDaattaa
Input Output
SYSTEM
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17. © Jean-Antoine
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BBiigg DDaattaa
binary join
multidimensional join
recursive join
of object of database
and also between databases.
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18. © Jean-Antoine
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BBiigg DDaattaa
binary join
multidimensional join
recursive join
of object of database
and also between databases.
joining cycle
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19. © Jean-Antoine
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BBiigg DDaattaa
Data Processing
Cycle
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20. © Jean-Antoine
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BBiigg DDaattaa
Data Processing
Joining cycle
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N+1
N+2
N+3
N
Accuracy
meaning, direction
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Level
optimization

22. © Jean-Antoine
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BBiigg DDaattaa
• Data levels are include;
• Data are include in data base and data base
is included in system for management;
• Management systems are included among
them;
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23. © Jean-Antoine
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BBiigg DDaattaa
• Axis of :
– Data;
– Data base;
– Management system;
Each with different levels.
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24. © Jean-Antoine
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Toolbox for Parallel Computing
parallel computing
distributed arrays
Algorithms
transmission functions
communication > result
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25. © Jean-Antoine
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BBiigg DDaattaa
• Using
• virtual matrix from
• data storage across a cluster.
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26. © Jean-Antoine
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BBiigg DDaattaa
• Using :
– Performing parallel computation
• aggregate data set optimizing file I/O
performance
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27. © Jean-Antoine
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BBiigg DDaattaa
Data volume relation Data Processing
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28. © Jean-Antoine
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BBiigg DDaattaa
• Scenario;
• Optimization;
• Both models;
• Algorithms;
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29. © Jean-Antoine
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BBiigg DDaattaa
Complex operations
Complex calculations
Dimensions Simulation
Process
Focus
Efficiency
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30. © Jean-Antoine
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Goal
Optimize the existing
Reduce the running time
Simulation
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31. © Jean-Antoine
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Goal
Scaling simulation
Fonctional simulation
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32. © Jean-Antoine
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BBiigg DDaattaa
Optimization
SQL Data Base
New algorithm to query
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33. © Jean-Antoine
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Method
Modelling
Algorithm
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34. © Jean-Antoine
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Simulation
Simulation process
Simulation effects
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35. © Jean-Antoine
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BBiigg DDaattaa
simulation Data
n
n-1
result
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36. © Jean-Antoine
Moreau
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BBiigg DDaattaa
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• Using:
– Branch (data tree, software tree);
– Node;
– Aggregate;
– Specific node;
– Parameters;
– Historical data;

37. © Jean-Antoine
Moreau
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BBiigg DDaattaa
• data tree;
• decomposition tree;
• general category;
• Subcategory;
• critical category;
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38. © Jean-Antoine
Moreau
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BBiigg DDaattaa
• Structuring data approach;
• Historical order of the information;
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39. © Jean-Antoine
Moreau
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Managing my
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BBiigg DDaattaa
• Structuring data approach;
• Historical order of the information;
• Using :
– Aggregate data;
– Hierarchical data tree;
– Taking in account different rate;
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40. © Jean-Antoine
Moreau
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BBiigg DDaattaa
• Simulation
• Process
• Delais
• Time
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41. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Aggregating historical
 Including :
 Active condition;
 Behaviours;
 Running :
 Multiple times;
 Different rate for the same
period;
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42. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Simulation output
Described in terms
Profit Value
Specification
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43. © Jean-Antoine
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BBiigg DDaattaa
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• Simulation
• Requirement
• Specification
methodological process

44. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Inheritance
Level
Node
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45. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Inheritance
Level
Node
Optimization
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46. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Optimization
– Database;
– SQL query;
– Database connexion;
– Using the Database in the memory;
• Cache memory;
• Virtual memory;
• Physical (internal / external) memory;
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47. © Jean-Antoine
Moreau
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Managing my
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BBiigg DDaattaa
Optimization
– Database;
– SQL query;
– Database connexion;
– Using the Database in the memory;
• Cache memory;
• Virtual memory;
• Physical (internal / external) memory;
 Data architecture;
• Physical;
• Virtual;
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48. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Physical
Database Database
stored
Objects
Database
Tables
Database
time
accuracy of
data processing
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memory

49. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Simulation process
Volume
IT architecture capacity
Data sources
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50. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Define
The data tree structure
The scaling axis
The scrolling conditions
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51. © Jean-Antoine
Moreau
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BBiigg DDaattaa
inputs Data Processing outputs
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node
Time - Period
financial resources

52. © Jean-Antoine
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BBiigg DDaattaa
Ressources - Capacity
Impact
Algorithm
Decision Tree
Decision Matrix
Choice of the aggregation type
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53. © Jean-Antoine
Moreau
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BBiigg DDaattaa
aggregation
Data Database Management System
Database
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54. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Aggregation
Data Database Management System
Database
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55. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Aggregation
Data Database Management System
Database
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56. © Jean-Antoine
Moreau
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BBiigg DDaattaa
• Technical Constraint :
– Aggregated data;
– Linked data;
– Jointed data;
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57. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Technical Constraint
– Aggregated data;
– Linked data;
– Jointed data;
•Traceability;
•Coherence;
•Accuracy;
•Consistency;
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58. © Jean-Antoine
Moreau
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BBiigg DDaattaa
• Technical Constraint
• Optimized
– Models;
– Algorithms;
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59. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Using the Data Science
Customer Model Scaling Simulation Model
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60. © Jean-Antoine
Moreau
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BBiigg DDaattaa
• Simulation suffer from high time complexity;
• Data retrieval from data base and memory cache;
• The same data is redundancy calculated and
aggregated several time;
To avoid reaggregation and recalculation;
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61. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Data Simulation
tagging
History decision-making
mechanism
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62. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Prepare the
simulation
Specification
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63. © Jean-Antoine
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BBiigg DDaattaa
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• Data
– Variable;
– Constant;
– Magnetude;
– Description
• Tree path;
• Historical;
• Acces method;
• Condition;
• Dependent;
• …
• Algorithm
Prepare the
simulation
Specification
BBuussiinneessss

64. © Jean-Antoine
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BBiigg DDaattaa
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• Data
– Variable;
– Constant;
– Magnetude;
– Description
Prepare the
simulation
Specification
BBuussiinneessss
• Tree path;
• Historical;
• Acces method;
• Condition;
• Dependent;
• …
• Algorithm

65. © Jean-Antoine
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Data
indexing
Business needs

66. © Jean-Antoine
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BBiigg DDaattaa
Process Cycle Time
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Your Model
Use for Simulation

67. © Jean-Antoine
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BBiigg DDaattaa
Data Base / Query
I/O physical logical virtualizing
Data System Management
data Data Base
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Level

68. © Jean-Antoine
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BBiigg DDaattaa
Data collection strategy
Business Case
Use Case
Data analysis
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69. © Jean-Antoine
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BBiigg DDaattaa
Business Case
Predictive Model
Data collection strategy
DDaattaa mmiinniinngg IInnffeerreennccee SSttaattiissttiiccaall MMooddeell
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70. © Jean-Antoine
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BBiigg DDaattaa
Business Case
Data Strategy Predictive node Data Exploring Process
IT Infrastructure
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71. © Jean-Antoine
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BBiigg DDaattaa
Business Case
Open Data Meta Data Linked Data;
Aggregated Data;
Web Data;
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72. © Jean-Antoine
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BBiigg DDaattaa
Business Case
Data Base Data Mining •Data System Data Base;
•Data Mart;
•Data Mashup Software;
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73. © Jean-Antoine
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BBiigg DDaattaa
• Business case (Use Case)
– Approach :
• Community;
• Dynamic;
• Static;
• geolocated;
• contextual;
• time;
• trades;
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74. © Jean-Antoine
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BBiigg DDaattaa
• Using the right information at the right time.
• The right information makes satisfaction cient.
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75. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Internet
e-commerce
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computer
application
mail
e-health
e-finance
mobile
social network

76. © Jean-Antoine
Moreau
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BBiigg DDaattaa
Data Science
scalability availability performance
The good information at the just time
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77. © Jean-Antoine
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BBiigg DDaattaa
• Properties:
– atomicity;
– Consistency;
– insulation;
– sustainability;
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78. © Jean-Antoine
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BBiigg DDaattaa
Using
Real time
with contextualization
Online Transaction Processing (OLTP)
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79. © Jean-Antoine
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• Currently
– Management System Database :
• structured data;
• transactional apllications;
• SQL interface;
• security;
standardization
Object Data Management Group

80. © Jean-Antoine
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BBiigg DDaattaa
• OPEN DATA :
– unstructured data;
– real-time data;
– questioning and investigation by machine;
– collaborative sharing;
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81. © Jean-Antoine
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BBiigg DDaattaa
volume
new algorithm
sharing
analysis
virtualization
research
capture
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82. © Jean-Antoine
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volume
new data administration process.
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83. © Jean-Antoine
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BBiigg DDaattaa
open data;
accessible data;
reusable data;
Open Data
new control mechanisms of coherence
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84. © Jean-Antoine
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BBiigg DDaattaa
• Define a scale of data quality
– The unfiltered unformatted data sets;
– Data provided in a structured format;
– Free data to be used and exploited without license;
– Data identified from URL (Uniform Resource Locator);
– Data related to actors which are themselves associated
with a context;
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85. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
The use of open data (Web) is uncontrollable by
the producer.
Contact http://www.jean-antoine-moreau.fr.nf JAM 85

86. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
using of open data
data warehousing
Contact http://www.jean-antoine-moreau.fr.nf JAM 86

87. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
using of open data
Data warehouse
Using the rules of management appropriate for each
business line.
Contact http://www.jean-antoine-moreau.fr.nf JAM 87

88. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
using of open data
Data warehouse
Data update using SPARQL service
(Protocol and RDF Query Language)
Contact http://www.jean-antoine-moreau.fr.nf JAM 88

89. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
using of open data
Data warehouse
Using the Web semantique
(Data Web)
Contact http://www.jean-antoine-moreau.fr.nf JAM 89

90. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
 Study and research in the classic mode:
• Problem statement;
• Intuition - deduction;
• Validation:
• experience;
• simulation;
• computation;
Contact http://www.jean-antoine-moreau.fr.nf JAM 90

91. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
Study and research in a context Big Data:
• Computer analysis:
• Identification;
• Correlation;
• Proximity card (Geo-localization);
• Generation of hypothesis;
• Options;
• Emergence of new solutions;
• Experimentation;
Contact http://www.jean-antoine-moreau.fr.nf JAM 91

92. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
• Highlighting correlations;
• Getting Relief aggregations;
• Search model of explanation:
explanation :
– Implementation;
– Contectuel model;
• Direction of the work;
Contact http://www.jean-antoine-moreau.fr.nf JAM 92

93. © Jean-Antoine
Moreau
copying and
reproduction
prohibited
Managing my
copyright ADAGP.
BBiigg DDaattaa
• Using Open format
– PDF;
– CSV;
– HTML;
– XML;
– RDF;
– RSS;
– Atom;
– Json (JavaScript Object Notation );
– …
Contact http://www.jean-antoine-moreau.fr.nf JAM 93