Cwin16 tls-partner-mark logic-an innovation journey in manufacturing

An innovation journey in Manufacturing
with MarkLogic enterprise NoSQL
Toulouse, 23/09/2016, Eric Poilvet

An innovation journey in Manufacturing with MarkLogic enterprise NoSQL| 29/09/2016
Copyright © 2016 Capgemini and Sogeti. All rights reserved. 2
Table of Contents
 PLM & integrating data from silos
 Data applicability at scale
 Data & content searchability

PLM is a multidisciplinary approach.
It handles variety of data and connected to many
places in the organization :
Design, engineering, manufacturing,
supply chain, support, services.
WHAT BUSINESSES WANT
Design
Manufacturing
Supply chain
support
Services
Engineering

Data Is In Silos
 Data is spread across disconnected databases
 Data needs to be delivered in real time
 Data all depends on applicability on products
THE REALITY
Design
Manufacturing
Supply chain
support
Services
Engineering

A Database That
Integrates PLM Data
Better, Faster, With Less
Cost
THE DESIRED SOLUTION

Data, content & documentations
Flexible data model
HOW MARKLOGIC DELIVERS
 Load structured and unstructured data as is
 Document oriented NoSQL allows to load AS
IS existing documentation resources,
leveraging industry formats such as S1000D,
ATA, SGML/XML.

Semantics
 Integrated Triple Store for managing facts and
relationships as semantic triples
 Support for RDF and SPARQL standards
 Scales to hundreds of billions of triples
 Sub-second response via the Triple Index
<repair>ABC123</repair>
System
Sub-
component
Part
Component 1
Sub-
component
DOCUMENTS AND
TRIPLES TOGETHER
Parts & Partonomy management

Full-text capabilities
 Unstructured content comes from team
reports, test reports, documents.
 Language search feature are required
 PDF/Office content manipulation and
indexation
 Enrich and classify the data with
semantic enrichment :
Manage unstructured data

 Integrated Digital Delivery for More Efficient Automotive Repair
WHY MARKLOGIC?
 Structured and unstructured data
 Sophisticated search
 Scalability for growing data set
 Multi-device delivery (desktop, tablet,
Snap-On ProDemand device)
MITCHELL1
PRODEMAND
REPAIR
INFO
EXPERT
ADVICE
REPAIR
ORDERS
XMLJSON IMG
Mitchell1 – Streamlined Auto Repair Information

 Integrated Digital Delivery for More Efficient Automotive Repair
WHY MARKLOGIC?
 Sophisticated search
 Scalability for growing data set
 Multi-device delivery (desktop, tablet,
Snap-On ProDemand device)
MITCHELL1
PRODEMAND
REPAIR
INFO
EXPERT
ADVICE
REPAIR
ORDERS
XMLJSON IMG
The Results
 Efficient – 85% reduction in manual work to deliver content
 Scalable – 300GB of data, growing at 10GB per month
 Real-time – 28 manufacturers providing new data
 Smart – Semantic capabilities to predict repairs
 Success – Streamlined digital delivery
Mitchell1 – Streamlined Auto Repair Information

Applicability is everywhere
Parts, catalogs, documentations…
…and sometimes distributed
across different types of objects
Applicability at scale

Part and documentation
applicability is usually defined as a
Boolean expressions that match
the product properties values
S1000D documentation standard
How is the applicability defined ?

Document
Part
(Property A = XX
OR Property D = TT)
AND Property M = PP
Applicability
Reverse
query
With reverse queries we ask the database :
What are the objects in the DB positive
to a given configuration ?
…and get sub-second result on billions of documents
Configuration
Property A =XX
Property B = ZZ
Property C = WW
Property D =TT
…
Property M = PP
How can MarkLogic manage applicability at scale ?

 Integrated data hub to search across 31 different sources, applying applicability at
search
WHY MARKLOGIC?
 Cross-domain search
 20+ different languages and advanced
search
 Sub-second queries applying applicability
 Sophisticated search including faceting of
available documents/sources for a given
product configuration
Documenta-
tions
Car Manufacturer – Operational Data Hub
and applicability management
Parts, plates&
Catalogs
XMLJSON
Taxonomies

 Integrated data hub to search across 31 different sources, applying applicability at
search
WHY MARKLOGIC?
 Cross-domain search
 20+ different languages and
adavance search
 Sub-second queries applying
applicability
 Sophisticated search including
faceting of available
documents/sources for a given
product configuration
Documenta-
tions
Car Manufacturer – Operational Data Hub
and applicability management
Parts, plates&
Catalogs
XMLJSON
Taxonomies
MITCHELL1
PRODEMAND
The Results
 Efficient – New sources ingested with no data preparation
 Scalable – Millions content and data objects in database
 Real-time – Real-time queries on millions of assets applying
distributed applicability rules
 Success – Streamlined digital delivery

Plane configurations
Flight test crew
report
Flight test crew
report
Flight data indexes
Cross domain queries on
Structured & unstructured
contents
Sophisticated Indexing
 Ask Anything Universal Index – Indexes data,
structure on ingest
 Advanced search – Relevance weighting,
proximity boosting, type-ahead suggestions,
co-occurrence, snippeting, etc.
 More indexes for scalar (e.g., datetime,
numeric), geospatial, and semantic triple data
Search across multiple sources
Weather

 PLM use cases require advance search capabilities on top of the data hub.
 It might be required to search across structured data (configuration, parts) and test
datasets in order to identify specific conditions.
WHY MARKLOGIC?
 Database side extensions to implement
processing logic close to the data
 Extensible REST APIs to expose new business
logic to third party applications
 Advanced and scalable search and indexes
capabilities.
Aerospace – Data hub and temporal intersection
Sensor 1
Sensor 2
Sensor 3
Time
Intersection
Next move

BIDIRECTIONAL
ANALYSIS
OF ALL DATA
MULTI-CHANNEL
DISTRIBUTION
OPERATIONAL
DATA SOURCES
BINARY TXT GEOJSONXML
Operational Data Hub for PLM data
BITEMPORAL
CERTIFIED
SECURITY
ACID
TRANSACTIONS
FLEXIBLE
DEPLOYMENT
SCALABILITY
& ELASTICITY
HA/DR TIERED
STORAGE
Features Required

Contact information
Eric
Poilvet
Solutions Architect
eric.poilvet@marklogic.com
Insert
contact
picture
Insert
contact
picture
David
Lellouche
Account Executive
david.lellouche@marklogic.com

www.capgemini.com
The information contained in this presentation is proprietary.
Copyright © 2016 Capgemini and Sogeti. All rights reserved.
Rightshore® is a trademark belonging to Capgemini.
www.sogeti.com
About Capgemini and Sogeti
With more than 180,000 people in over 40 countries, Capgemini is a
global leader in consulting, technology and outsourcing services. The
Group reported 2015 global revenues of EUR 11.9 billion. Together
with its clients, Capgemini creates and delivers business, technology
and digital solutions that fit their needs, enabling them to achieve
innovation and competitiveness. A deeply multicultural organization,
Capgemini has developed its own way of working, the Collaborative
Business Experience™, and draws on Rightshore®, its worldwide
delivery model.
Sogeti is a leading provider of technology and software testing,
specializing in Application, Infrastructure and Engineering
Services. Sogeti offers cutting-edge solutions around Testing,
Business Intelligence & Analytics, Mobile, Cloud and Cyber
Security. Sogeti brings together more than 23,000 professionals in
15 countries and has a strong local presence in over 100 locations
in Europe, USA and India. Sogeti is a wholly-owned subsidiary of
Cap Gemini S.A., listed on the Paris Stock Exchange.

Cwin16 tls-partner-mark logic-an innovation journey in manufacturing

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Cwin16 tls-partner-mark logic-an innovation journey in manufacturing