SlideShare una empresa de Scribd logo
1 de 34
PatternsinInformationTechnology
1
Some Observations on Common Patterns in
Information Technology
Prof. Dr. Franz-Josef Behr, Stuttgart University of Applied Sciences
ICTES 2014, University of Kelaniya, Sri Lanka
http://en.wikipedia.org/wiki/University_of_Kelaniya#mediaviewer/File:Unikelruki.jpg
PatternsinInformationTechnology
2
Outline
• Introduction
• Features and collections of them, and their Identity
• Encoding
– Markup Languages, Structuring vocabularies by namespaces
– Key value pairs
– Separating information chunks
• Standards
• Openess
• Networking and Service Orientation
PatternsinInformationTechnology
3
• Field data collection
• Surveying
• Photogrammetry
• Remote sensing
• Mobile Apps
• Geodatabeses
• Spatial Data Infrastructures
• Data Harmonization
• Service oriented Architectures
• Web Mapping
• OGC WebServices
• Architectures
• Reports & Presentations
• 3D, 4D, …
PatternsinInformationTechnology
4
Complexity
PatternsinInformationTechnology
5
Reduction of
Complexity
PatternsinInformationTechnology
6
Recognition of
Pattern
PatternsinInformationTechnology
7
Features and
collections of them
PatternsinInformationTechnology
8
Features
• real world: consisting of entities /
phenomena (latin: ens: a being)
• Feature = an abstraction of real
world phenomena (ISO 19101)‖
• geographic feature: associated
with a location relative to the
Earth.
• The state of a feature is defined
by a set of properties, where each
property may be thought of as a
{name, type, value} triple.
Real worldt
Model
Entity
feature
Identity
properties
behaviour
attributes
geometry
styling properties
meta properties
Technical viewpoint,
abstraction,
generalization
relationships
PatternsinInformationTechnology
9
feature
feature
feature
feature
feature
feature
featurefeature
feature
feature
feature
feature
feature
feature
PatternsinInformationTechnology
10
Single features and collections: in GML
• FeatureCollection: a collection of GML Features, having own properties and an
optional list of Spatial Reference System Definitions. [1]
• GML feature collections are themselves valid GML features. [2]
<complexType name="AbstractFeatureCollectionType" abstract="true">
<complexContent>
<extension base="gml:AbstractFeatureType">
<sequence>
<element ref="gml:featureMember" minOccurs="0" maxOccurs="unbounded"/>
<element ref="gml:featureMembers" minOccurs="0"/>
</sequence>
</extension>
</complexContent>
</complexType>>
<element name="AbstractFeatureCollection"
type="gml:AbstractFeatureCollectionType" abstract="true"
substitutionGroup="gml:AbstractFeature" />
[1] http://www.w3.org/Mobile/posdep/GMLIntroduction.html
[2] OpenGIS Geography Markup Language (GML) Encoding Standard, v 3.2.1, http://portal.opengeospatial.org/files/?
artifact_id=20509
PatternsinInformationTechnology
11
Single features and collections: in Java
PatternsinInformationTechnology
12
Real worldt
Model
Entity
feature
Identity
properties
behaviour
attributes
geometry
styling properties
meta properties
Technical viewpoint,
abstraction,
generalization
relationships
Identity of features
• Each feature must be identifiable.
• Need of identification systems – perhaps many
• Identification also needed in networking (discussed
later)
PatternsinInformationTechnology
13
Identity of features
<gml:featureMember>
<AX_Flurstueck gml:id="DEBWL0010001UiIg">
<gml:identifier codeSpace="http://www.adv-online.de/">urn:adv:oid:DEBWL0010001UiIg</gml:identifier>
<zeigtAufExternes>
<AA_Fachdatenverbindung>
<art>urn:bw:fdv:1000</art>
<fachdatenobjekt>
<AA_Fachdatenobjekt><name>0680199400016V</name></AA_Fachdatenobjekt>
…
<position>
<gml:Surface srsName="urn:adv:crs:DE_DHDN_3GK3_BW100" gml:id="Y33">
…
<gml:Curve gml:id="Y34">
<gml:segments>
<gml:LineStringSegment>
<gml:posList>515748.750 5454798.050 515758.590 5454780.310</gml:posList>
</gml:LineStringSegment>
</gml:segments>
…
</gml:polygonPatches>
</gml:Surface>
</position>
<gemarkung>
<AX_Gemarkung_Schluessel>
<land>08</land>
<gemarkungsnummer>680</gemarkungsnummer>
</AX_Gemarkung_Schluessel>
…
<flurstueckskennzeichen>08068000300592____00</flurstueckskennzeichen>
<amtlicheFlaeche uom="urn:adv:uom:m2">290.00</amtlicheFlaeche>cou
PatternsinInformationTechnology
14
Encoding Data
PatternsinInformationTechnology
15
Encoding Data
Principle of MarkUp
• Markup Language
• Definition of structural
elements for data
• Strict syntax
End-TagElement contentStart tag with attribute
Element name Attribute name Attribute value
<person city="Karlsruhe">Franz-Josef Behr</person>
eXtensible
PatternsinInformationTechnology
16
Encoding Data
Markup Languages: XML
After:http://wwbota.free.fr/Samples/parsing.htm
• You can have your won
Markup Language
• It‘s understandable for
human beings and for
computer programs
PatternsinInformationTechnology
17
<georss:where>
<gml:Point>
<gml:pos>48.947534 8.482132</gml:pos>
</gml:Point>
</georss:where>
<georss:where>
<gml:Point>
<gml:pos>48.947534 8.482132</gml:pos>
</gml:Point>
</georss:where>
<georss:point>48.947534 8.482132</georss:point><georss:point>48.947534 8.482132</georss:point>
<?xml version='1.0' encoding='UTF-8'?>
<kml>
<Placemark>
<name>48° 56' 51.120623'' N, 8° 28' 55.675049' E</name>
<description></description>
<Point>
<coordinates>8.482132, 48.947534, 0</coordinates>
</Point>
</Placemark>
</kml>
<?xml version='1.0' encoding='UTF-8'?>
<kml>
<Placemark>
<name>48° 56' 51.120623'' N, 8° 28' 55.675049' E</name>
<description></description>
<Point>
<coordinates>8.482132, 48.947534, 0</coordinates>
</Point>
</Placemark>
</kml>
<geo:Point>
<geo:lat>48.947534</geo:lat>
<geo:long>8.482132</geo:long>
</geo:Point>
<geo:Point>
<geo:lat>48.947534</geo:lat>
<geo:long>8.482132</geo:long>
</geo:Point>
Ambiguity of names in different XML DialectsAmbiguity of names in different XML Dialects
W3C Geo
KML
GeoRSS (GML)
GeoRSS (simple)
PatternsinInformationTechnology
18
Solution: Structuring vocabularies by namespaces
In programming languages (here: Java)
In XML
In Database technology: context for database names
Source: ISO 19101, ISO 19115
PatternsinInformationTechnology
19
Key value pairs
https://www.car2go.com/api/v2.1/vehicles?
loc=stuttgart&oauth_consumer_key=car2gowebsite&format=json&callbac
k=jQuery17108792290978299311_1369324710467&_=1369324710759
In URLs to identify resources
in JSON
PatternsinInformationTechnology
20
Separating information chunks
http://www.gis-news.de/cgi-bin/mapserv.exe?
img.x=348&img.y=318&zoomdir=1&zoomsize=2&layer=city&layer=mot
orway&layer=Europe&imgext=4.296614+49.186302+7.284114+52.1749
38&imgxy=274.5+274.5
http://www.gis-news.de/cgi-bin/mapserv.exe?
img.x=348&img.y=318&zoomdir=1&zoomsize=2&layer=city&layer=mot
orway&layer=Europe&imgext=4.296614+49.186302+7.284114+52.1749
38&imgxy=274.5+274.5
In URLs to identify resources:
In GML encodings:
?
PatternsinInformationTechnology
21
Separators have to be defined:
Decimal separator (.)Decimal separator (.)
coordinate separator (,)coordinate separator (,)
tuple separator (space)tuple separator (space)
PatternsinInformationTechnology
22
Source
Data
Standards
Open
PatternsinInformationTechnology
23
Open agenda is now implemented by
the UK Government and delivering
huge cost savings for government
£409 million in the first half
of this year
Read on: https://www.gov.uk/government/news/government-bodies-must-comply-with-open-standards-
principles
PatternsinInformationTechnology
24
EU Digital Agenda and Open Data
Source: http://ec.europa.eu/digital-agenda/en/blog/eu-open-data-portal-here [2014-06-21]
PatternsinInformationTechnology
25
Source
Data
Standards
Open
Openess
• Data must be complete.
• Data must be primary.
• Data must be timely.
• Data must be accessible.
• Data must be machine-processable.
• Access must be non-discriminatory.
• Data formats must be non-proprietary.
• Data must be under an open license or license free.
• Data must have permanence and be findable over time.
• Usage costs must be affordable (de minimis).
PatternsinInformationTechnology
26
Standards
PatternsinInformationTechnology
27
Organisations and their dependencies
Establish
definition of
and terms of
engagement
in *SDI
ISO
TC 211 TC 204
JTC-1
National
Standards
Organizations
Provide
expertise &
candidate stds.
Review &
approve
stds.
Adopter/
Implementer
Community
Adopter/
Implementer
Community
OpenGIS
Consortium
(OGC)
World Wide
Web Consortium
(W3C)
Internet Engineering
Task Force (IETF)
Facilitation Bodies
• GSDI
• ANZLIC
• PCGIAP
• FGDC
• PC-IDEA
• INSPIRE
• GeoConnections
• CODI/UNECA
• AGI
• …
W3C: HTTP, PNG, RDF, SOAP/XMLP
(Web Services Activity), XML, Xlink,
Xpath, Xpointer, XSL/XSLT, XML Schema
OGC: Web Map Server,
Web Feature Server,
GML, Web Coverage
Server, Style Layer
Descriptor, Catalog
Service
ISO: Ref Model, Terminology, Conformance
testing, Profiles, Spatial Schema, Temporal
Schema, Feature Cataloguing Methodology,
Spatial Ref by Coords and Ids, Quality,
Metadata, WMS, GML, LBS, Registration of
Geo-information Items
Metadata Profile,
Data Content
Standards, etc.
Class A
liaison
XML Protocol (XMLP),
XML Signature, I18N
Class C Liaison:
XML, I18N
Modified after: http://www.fgdc.gov/library/presentations/documents/2003-
presentations/GIS_Standards_Rockies1003.ppt [2013-05-31]
• ISPRS
• ICA
•…
• ASPRS
• DGPF
• local
chapters
•…
PatternsinInformationTechnology
28
Sharing
Interoperability
PatternsinInformationTechnology
29
Networking and Service Orientation
Source: http://commons.wikimedia.org/wiki/File:Social_Network_Analysis_Visualization.png
GIS = High Complexity
= Empowering a Few
Web Services:
Simplicity =
Empowering a Billion
PatternsinInformationTechnology
30
Networking
• Uniform Resource Identifier (URI). URIs can be:
– Locations / adresses: Uniform Resource Locator (URL) , [RFC2396]
– Names: Uniform Resource Name (URN) [RFC 1737, RFC 2141, RFC 3061]
– IP-Adresses (IPv4, IPv6)
<gml:Point srsname=“urn:adv:crs:ETRS89_UTM32“>
<gml:coordinates>369949.671 5615301.383</gml:coordinates>
</gml:Point>
http://www.w3.org/Provider/Style/URI
PatternsinInformationTechnology
31
Web Gis Architecture
Internet
HTTP
Webserver
HTTP
CGI protocol
Document root
Static
resources
Server side programs
Dynamic Generation of resources
Client
"User Agent"
PNG, JPG, …
XML / SVG
DBMS
Server
Data preparation, analysis
SQL
Presentation Tier
Data Tier
Communication Tier,
Web Tier
Application Tier,
Business Logic Tier
Application
Server
IP address / Server Name / Host nameIP address
DNS Server
80
HTTP-Client
HTTP-Client
HTTP-Client
Local GIS
80
Communication TierCommunication Tier
Application TierApplication Tier
Data TierData Tier
Presentation TierPresentation Tier
PatternsinInformationTechnology
32
Internet
HTTP
Webserver
HTTP
CGI protocol
Document root
Static
resources
Server side programs
Dynamic Generation of resources
Client
"User Agent"
PNG, JPG, …
XML / SVG
DBMS
Server
Data preparation, analysis
SQL
Presentation Tier
Data Tier
Communication Tier,
Web Tier
Application Tier,
Business Logic Tier
Application
Server
IP address / Server Name / Host nameIP address
DNS Server
80
HTTP-Client
HTTP-Client
HTTP-Client
Local GIS
80
Architecture: The protocols
HTTP
RFC 2616
HTTP
RFC 2616
CGI
RFC 3875
CGI
RFC 3875
SQL
ISO/IEC 9075
SQL
ISO/IEC 9075
XML
w3.org/XML/
XML
w3.org/XML/
Content-Type
RFC 2045
Content-Type
RFC 2045
URI
RFC 1630
URI
RFC 1630
PatternsinInformationTechnology
33
Publish-Find-Bind-Pattern
Client
Web
Service Offer
Service Registry
Catalogue
publish
„bind“ =
"cosuming"
the service
Find =
"discover"
OGC GetCapabilities,
WSDL
OGC Web
Catalogue
Service,
UDDI,
Discovery
Service
Service
Comsumer,
OpenLayers
View Services,
Download Services, …
PatternsinInformationTechnology
34
Summary / Outlook
• Several observable patterns in ICT were shown.
• Try to figure out ALWAYS the design pattern in information technology
applicable for YOUR filed of work.
• Take care of standards.
• Be open regarding data, services, collaboration – be interoperable.

Más contenido relacionado

Similar a Some Observations on Common Patterns in Information Technology

MPLS/SDN 2013 Intercloud Standardization and Testbeds - Sill
MPLS/SDN 2013 Intercloud Standardization and Testbeds - SillMPLS/SDN 2013 Intercloud Standardization and Testbeds - Sill
MPLS/SDN 2013 Intercloud Standardization and Testbeds - SillAlan Sill
 
How to Build the Connectivity Architecture for the Industrial Internet of Thi...
How to Build the Connectivity Architecture for the Industrial Internet of Thi...How to Build the Connectivity Architecture for the Industrial Internet of Thi...
How to Build the Connectivity Architecture for the Industrial Internet of Thi...Real-Time Innovations (RTI)
 
Final Master's Defense Presentation : Policy-driven Security Management in Ga...
Final Master's Defense Presentation : Policy-driven Security Management in Ga...Final Master's Defense Presentation : Policy-driven Security Management in Ga...
Final Master's Defense Presentation : Policy-driven Security Management in Ga...Clinton DSouza
 
The Enterprise Guide to Building a Data Mesh - Introducing SpecMesh
The Enterprise Guide to Building a Data Mesh - Introducing SpecMeshThe Enterprise Guide to Building a Data Mesh - Introducing SpecMesh
The Enterprise Guide to Building a Data Mesh - Introducing SpecMeshIanFurlong4
 
MS Word file resumes16869r.doc.doc
MS Word file resumes16869r.doc.docMS Word file resumes16869r.doc.doc
MS Word file resumes16869r.doc.docbutest
 
General introduction to IoTCrawler
General introduction to IoTCrawlerGeneral introduction to IoTCrawler
General introduction to IoTCrawlerIoTCrawler
 
DT Company Overview January 2013
DT Company Overview January 2013DT Company Overview January 2013
DT Company Overview January 2013DataTactics
 
2016 asl hitachi
2016 asl hitachi2016 asl hitachi
2016 asl hitachiElliot Duff
 
Grid Middleware – Principles, Practice and Potential
Grid Middleware – Principles, Practice and PotentialGrid Middleware – Principles, Practice and Potential
Grid Middleware – Principles, Practice and PotentialPaul Brebner
 
influence of AI in IS
influence of AI in ISinfluence of AI in IS
influence of AI in ISISACA Riyadh
 
Mass Scale Networking
Mass Scale NetworkingMass Scale Networking
Mass Scale NetworkingSteve Iatrou
 
Technology Trends Opportunity Assessment for Cleantech Sectors
Technology Trends Opportunity Assessment for Cleantech SectorsTechnology Trends Opportunity Assessment for Cleantech Sectors
Technology Trends Opportunity Assessment for Cleantech SectorsMax Tuttman
 
1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi
1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi
1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bisathiyasowmi
 
Advanced Automated Analytics Using OSS Tools, GA Tech FDA Conference 2016
Advanced Automated Analytics Using OSS Tools, GA Tech FDA Conference 2016Advanced Automated Analytics Using OSS Tools, GA Tech FDA Conference 2016
Advanced Automated Analytics Using OSS Tools, GA Tech FDA Conference 2016Grid Protection Alliance
 
Understanding and Addressing Architectural Challenges of Cloud- Based Systems
Understanding and Addressing Architectural Challenges of Cloud- Based SystemsUnderstanding and Addressing Architectural Challenges of Cloud- Based Systems
Understanding and Addressing Architectural Challenges of Cloud- Based SystemsCREST @ University of Adelaide
 
What is Your Edge From the Cloud to the Edge, Extending Your Reach
What is Your Edge From the Cloud to the Edge, Extending Your ReachWhat is Your Edge From the Cloud to the Edge, Extending Your Reach
What is Your Edge From the Cloud to the Edge, Extending Your ReachSUSE
 
Data Services and the Modern Data Ecosystem (ASEAN)
Data Services and the Modern Data Ecosystem (ASEAN)Data Services and the Modern Data Ecosystem (ASEAN)
Data Services and the Modern Data Ecosystem (ASEAN)Denodo
 
Elastic Software Infrastructure to Support the Industrial Internet
Elastic Software Infrastructure to Support the Industrial InternetElastic Software Infrastructure to Support the Industrial Internet
Elastic Software Infrastructure to Support the Industrial InternetReal-Time Innovations (RTI)
 
Getting Started with IoT by Niraj Shah
Getting Started with IoT by Niraj ShahGetting Started with IoT by Niraj Shah
Getting Started with IoT by Niraj Shahmomoahmedabad
 

Similar a Some Observations on Common Patterns in Information Technology (20)

MPLS/SDN 2013 Intercloud Standardization and Testbeds - Sill
MPLS/SDN 2013 Intercloud Standardization and Testbeds - SillMPLS/SDN 2013 Intercloud Standardization and Testbeds - Sill
MPLS/SDN 2013 Intercloud Standardization and Testbeds - Sill
 
How to Build the Connectivity Architecture for the Industrial Internet of Thi...
How to Build the Connectivity Architecture for the Industrial Internet of Thi...How to Build the Connectivity Architecture for the Industrial Internet of Thi...
How to Build the Connectivity Architecture for the Industrial Internet of Thi...
 
Final Master's Defense Presentation : Policy-driven Security Management in Ga...
Final Master's Defense Presentation : Policy-driven Security Management in Ga...Final Master's Defense Presentation : Policy-driven Security Management in Ga...
Final Master's Defense Presentation : Policy-driven Security Management in Ga...
 
The Enterprise Guide to Building a Data Mesh - Introducing SpecMesh
The Enterprise Guide to Building a Data Mesh - Introducing SpecMeshThe Enterprise Guide to Building a Data Mesh - Introducing SpecMesh
The Enterprise Guide to Building a Data Mesh - Introducing SpecMesh
 
MS Word file resumes16869r.doc.doc
MS Word file resumes16869r.doc.docMS Word file resumes16869r.doc.doc
MS Word file resumes16869r.doc.doc
 
General introduction to IoTCrawler
General introduction to IoTCrawlerGeneral introduction to IoTCrawler
General introduction to IoTCrawler
 
DT Company Overview January 2013
DT Company Overview January 2013DT Company Overview January 2013
DT Company Overview January 2013
 
2016 asl hitachi
2016 asl hitachi2016 asl hitachi
2016 asl hitachi
 
Grid Middleware – Principles, Practice and Potential
Grid Middleware – Principles, Practice and PotentialGrid Middleware – Principles, Practice and Potential
Grid Middleware – Principles, Practice and Potential
 
influence of AI in IS
influence of AI in ISinfluence of AI in IS
influence of AI in IS
 
Software Architecture in an Agile World
Software Architecture in an Agile WorldSoftware Architecture in an Agile World
Software Architecture in an Agile World
 
Mass Scale Networking
Mass Scale NetworkingMass Scale Networking
Mass Scale Networking
 
Technology Trends Opportunity Assessment for Cleantech Sectors
Technology Trends Opportunity Assessment for Cleantech SectorsTechnology Trends Opportunity Assessment for Cleantech Sectors
Technology Trends Opportunity Assessment for Cleantech Sectors
 
1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi
1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi
1 st review pothole srm bi1 st review pothole srm bi1 st review pothole srm bi
 
Advanced Automated Analytics Using OSS Tools, GA Tech FDA Conference 2016
Advanced Automated Analytics Using OSS Tools, GA Tech FDA Conference 2016Advanced Automated Analytics Using OSS Tools, GA Tech FDA Conference 2016
Advanced Automated Analytics Using OSS Tools, GA Tech FDA Conference 2016
 
Understanding and Addressing Architectural Challenges of Cloud- Based Systems
Understanding and Addressing Architectural Challenges of Cloud- Based SystemsUnderstanding and Addressing Architectural Challenges of Cloud- Based Systems
Understanding and Addressing Architectural Challenges of Cloud- Based Systems
 
What is Your Edge From the Cloud to the Edge, Extending Your Reach
What is Your Edge From the Cloud to the Edge, Extending Your ReachWhat is Your Edge From the Cloud to the Edge, Extending Your Reach
What is Your Edge From the Cloud to the Edge, Extending Your Reach
 
Data Services and the Modern Data Ecosystem (ASEAN)
Data Services and the Modern Data Ecosystem (ASEAN)Data Services and the Modern Data Ecosystem (ASEAN)
Data Services and the Modern Data Ecosystem (ASEAN)
 
Elastic Software Infrastructure to Support the Industrial Internet
Elastic Software Infrastructure to Support the Industrial InternetElastic Software Infrastructure to Support the Industrial Internet
Elastic Software Infrastructure to Support the Industrial Internet
 
Getting Started with IoT by Niraj Shah
Getting Started with IoT by Niraj ShahGetting Started with IoT by Niraj Shah
Getting Started with IoT by Niraj Shah
 

Último

What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 

Último (20)

What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 

Some Observations on Common Patterns in Information Technology

Notas del editor

  1. to enableInteroperability