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Software Architecture
                  &
          Design Patterns for
              Developers
    Sebastian Waksmundzki
    eDataLabs Ltd.
    www.edatalabs.net




Connect + Learn = Grow
Hello World
• Senior Dynamics Architect
      • Over 12 years experience
      • I still love technology and code
      • MS CRM (since 1.2 ), SharePoint, ERP(s)
• Social
      • Blog www.mindthecloud.net
      • Twitter @qmiswax




Connect + Learn = Grow
Agenda
• Architecture
   – Architectural patterns and styles
• Design patterns
   – Master Data Management
   – Data Quality
   – Connected systems
   – Complex Event Processing
   – Long running processes
   – Mashups

Connect + Learn = Grow
Patterns
From the Yahoo Design Pattern Library:
• Patterns are optimal solutions to common
  problems. As common problems are tossed
  around a community and are resolved,
  common solutions often spontaneously
  emerge. Eventually, the best of these rise
  above the din and self-identify and become
  refined until they reach the status of a
  Design Pattern

Connect + Learn = Grow
Patterns
• Architectural pattern is a concept i.e. ETL
• Design Patterns is a reusable solution i.e.
  Batch ETL




Connect + Learn = Grow
Domain Area              Architecture Pattern Name                Design Patterns                   Solution Patterns


Data Integration         •    ETL                                 •    Change Data Capture          •     Error handling
                                                                  •    Near Real-Time ETL           •     Job scheduling
                                                                  •    Batch ETL                    •     Data validation
                                                                  •    Data Discovery               •     Slowly Changing
                                                                                                          Dimensions Load
                         •    MFT
                                                                  •    Publish/subscribe            •     One-Way
                         •    EAI/ESB                             •    Request/reply                •     Synchronous
                                                                  •    Message Exchange Patterns          Request/Response
                                                                                                    •     Basic Call-back
                                                                                                    •     Claim Check
Data Architecture        •   Transaction Data Stores (TDS/OLTP)   •   Custom Applications
                         •   Master Data Store                        Databases
                         •   Operational Data Store               •   Packaged Application
                         •   Data Mart                                Databases
                         •   Data Warehouse
Business Intelligence    •   Transactional Reporting              •   Transactional Reporting       •   Real-Time Dashboards
                         •   Operational Reporting                    Data Access                   •   In-Memory Analytics
                         •   Analytical Reporting                 •   Operational Reporting Data    •   Statistical Analysis
                                                                      Access                        •   Predictive analytics
                                                                  •   Analytical Reporting Data
                                                                      Access
                                                                  •   Analytical Dashboard Data
                                                                      Access
                                                                  •   Operational Dashboard Data
                                                                      Access
                                                                  •   Data Mining

Master data management   •   Master Data Hub                      •   Master Data Replication
                                                                  •   Master Data Services
                                                                  •   Master Data Synchronization


Data Modelling           •   Dimensional Data Modelling           •   Modelling Standards
                         •   E-R Data Modelling                   •   Naming Conventions




Connect + Learn = Grow
Let’s move on




Connect + Learn = Grow
Master data management - domain
                  (Master Data Replication) – design pattern

• Business Problem
      Company XYZ Corp: Headquarter + 2 remote locations , all have
      separate MS CRM instances (one online)


• Key requirements
•   The central master data be synchronized to all instances so that each instance has access
    to the latest version of the core information.
•   Solution has to allow :
      – Secure and reliable cross-boundary communication
      – Scalability
•   We need to synchronise:
      – Reference data, countries, currency codes, products –phase 1
      – Transactional data, which describes or results from an action by or with the business.
•   Only Relevant data should be synchronised
•   Some data should be published on a portal for customers



Connect + Learn = Grow
Master data management
                   (Master Data Replication)




Connect + Learn = Grow
Master data management
                   (Master Data Replication)


• Candidate architectures
   – Database synchronization
   – SSIS
   – GEO cluster
   – File Exchange
   – Send Email (Pigeons)
   – Azure Service Bus



Connect + Learn = Grow
Master data management
                   (Master Data Replication)


• Proposed solution
   – Azure Service Bus with Pub Sub




Connect + Learn = Grow
Master data management
              (Master Data Replication) pub /sub




 Filtering




Connect + Learn = Grow
Master data management
                   (Master Data Replication)




                           DEMO




Connect + Learn = Grow
Master data management
                   (Master Data Replication)


• Proposed solution benefits
   – Scalability
   – (One)(Many)-to-many communication.
   – Secure and reliable cross-boundary
     communication.
   – Improved security.




Connect + Learn = Grow
Master data management
                   (Master Data Replication)

• RU 12 Updates
   New in Microsoft Dynamics CRM 2011 Update
   Rollup 12 is a property bag of extra information
   added to each brokered message Properties.
   The property bag, available with persistent queue
   and topic contract endpoints, contains the following
   information.
   – Organization Url
   – Calling user ID
   – Initiating user ID
   – Entity logical name
   – Request name

Connect + Learn = Grow
Data Integration
                         (ETL Data Quality)


• Candidate architectures
   – 3rd party tools (they are generic)
   – Manual cleansing process
   – Build custom .net program
   – SQL 2012 DQS with SSIS




Connect + Learn = Grow
Data DQS

Account     Home       Team       Revenue               Home              Address
   ID       Team       Type         Type  Sales         Arena              Line               City     State Zip
          Boston                Food &
A124324   Celtics    Basketball Beverages 655      TD Garden      100 Legends Way            Boston MA            2114
                                                                                                                2114
          New York                                                East 161st Street &
7676862   Yankees    Baseball    Music       389   Yankee Stadium River Avenue               NY       NY
          Seattle
4934235   Mariners   Baseball
                     MLB         Music       443   Safeco Field    1516 First Avenue S       Seattle WA          98134
                                                                                                                98134




              Data Quality Knowledge Base
     Account ID                  Team Type                Address Line     City      State           Zip

  Structure                     ValuesType
                                  Team               External address validation provider

   Rule                         Synonyms              Reference
   Validation                   Detection               Data
                                                                          Full Address   - Composite Domain


    Connect + Learn = Grow                                                                                 17
Data Integration
                         (ETL Data Quality)


• Proposed solution benefits
   – Toolset already with SQL 2012
   – Corporate Knowledge Base
   – Fast, reliable
   – Improves DQ on different dimensions
      •   Completeness
      •   Accuracy
      •   Consistency
      •   Uniqueness

Connect + Learn = Grow
Data Integration
                         (ETL Data Quality)


• Proposed solution
      SQL 2012 DQS together with SSIS




Connect + Learn = Grow
Data Integration
                         (ETL Data Quality)




                             DEMO




Connect + Learn = Grow
Data Integration
                    (Connected systems ESB )


• Business Problem
   XYZ Enterprise has CRM online used by sales
   team. Invoices generated should promptly
   appear in ERP system as well as on SharePoint
   site.
• Key requirements
   – Scalable secure communication
   – Multiple systems


Connect + Learn = Grow
Data Integration
                    (Connected systems ESB )


• Candidate architectures
   – BizTalk
   – Export Import File
   – Extended Service Bus




Connect + Learn = Grow
Data Integration
                    (Connected systems ESB )


• Proposed solution Extended Service Bus




Connect + Learn = Grow
Data Integration
                    (Connected systems ESB )


       Azure AppFabric vs. Server AppFabric

Windows Azure AppFabric as a brand name
doesn't exist anymore. It is now called
Windows Azure "Client Libraries for .NET"




Connect + Learn = Grow
Data Integration
                   (Connected systems ESB)




                          DEMO




Connect + Learn = Grow
Complex Event Processing

• Business Problem
    XYZ has network of websites, which sell goods,
   they want identify the best customers in near
   real time
• Key requirements
   – Identify best customers in near real time
   – Information about customers should be in MS
     CRM


Connect + Learn = Grow
Complex Event Processing

• Candidate architectures
   – BizTalk
   – StreamInsight
   – Message based Event Processing




Connect + Learn = Grow
Long running processes

• Business Problem
   – XYZ has MS CRM which stores Golden Copy
     records for financial instruments, GC record is
     “combined” from at least 3 sources
• Key requirements
   – Multiple different sources
   – Processing and GC generation takes time



Connect + Learn = Grow
Long running processes

• Proposed solution
             Windows Server AppFabric Workflows




Connect + Learn = Grow
Long running processes

• Candidate architectures
   – Workflow inside CRM
   – BizTalk Orchestration
   – Windows Appfabric Workflow




Connect + Learn = Grow
Long running processes
                   What are Workflow Services?

                           WCF Service

                            WF Workflow

            WCF endpoint             Operation



                                                 External
                                                 Service


            WCF endpoint     Operation



                                                 External
                                                 Service




Connect + Learn = Grow
Long running processes

• Proposed solution benefits
   – Fully declarative XAML modelling in WF 4 (workflows
     & activities)
   – Testable solution
   – Elastic scale
   – Improved performance, availability and reliability
   – A complete hosting environment for long running
     workflows, including persistence.




Connect + Learn = Grow
Long running processes
                     (workflows)




                         DEMO




Connect + Learn = Grow
Long running processes
                 Workflow Manager
Workflow Manager 1.0 is a new server which introduces
new capabilities for authoring, hosting and managing
workflows. These workflows will run at high scale and
density, and will support execution in a multi-tenant
environment.

  In addition, Workflow Manager 1.0 is used by
  SharePoint 2013




Connect + Learn = Grow
UI Mashups

• Business Problem
   – Transactional data not visible in MS CRM
• Key requirements
   – 10 million historical transactions visible in MS
     CRM
   – Transactional system produces up to 100,000
     transactions per day



Connect + Learn = Grow
Mashups

• Candidate architectures
   – Load all transactions to MS CRM Custom
     entity
   – More Licenses for transactional system
   – UI Mashup




Connect + Learn = Grow
Mashups

• Proposed solution UI Mashup




Connect + Learn = Grow
Thank you




Connect + Learn = Grow
Sebastian Waksmundzki
                             EDataLabs Ltd
                           seb@edatalabs.net

Thank You to all of our Sponsors and thank YOU for attending
                  eXtremeCRM 2013 Rome!

   Please remember to fill out your session evaluation survey online!
          The link to the survey was emailed to you, or go to:
      http://www.extremecrm.com/Pages/2013RomeSurvey.aspx
 Complete prior to the closing session to be included in today’s drawing!




 Connect + Learn = Grow
Session Evaluation Survey online:
     http://www.extremecrm.com/Pages/2013RomeSurvey.aspx




Connect + Learn = Grow

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Software architecture & design patterns for MS CRM Developers

  • 1. Software Architecture & Design Patterns for Developers Sebastian Waksmundzki eDataLabs Ltd. www.edatalabs.net Connect + Learn = Grow
  • 2. Hello World • Senior Dynamics Architect • Over 12 years experience • I still love technology and code • MS CRM (since 1.2 ), SharePoint, ERP(s) • Social • Blog www.mindthecloud.net • Twitter @qmiswax Connect + Learn = Grow
  • 3. Agenda • Architecture – Architectural patterns and styles • Design patterns – Master Data Management – Data Quality – Connected systems – Complex Event Processing – Long running processes – Mashups Connect + Learn = Grow
  • 4. Patterns From the Yahoo Design Pattern Library: • Patterns are optimal solutions to common problems. As common problems are tossed around a community and are resolved, common solutions often spontaneously emerge. Eventually, the best of these rise above the din and self-identify and become refined until they reach the status of a Design Pattern Connect + Learn = Grow
  • 5. Patterns • Architectural pattern is a concept i.e. ETL • Design Patterns is a reusable solution i.e. Batch ETL Connect + Learn = Grow
  • 6. Domain Area Architecture Pattern Name Design Patterns Solution Patterns Data Integration • ETL • Change Data Capture • Error handling • Near Real-Time ETL • Job scheduling • Batch ETL • Data validation • Data Discovery • Slowly Changing Dimensions Load • MFT • Publish/subscribe • One-Way • EAI/ESB • Request/reply • Synchronous • Message Exchange Patterns Request/Response • Basic Call-back • Claim Check Data Architecture • Transaction Data Stores (TDS/OLTP) • Custom Applications • Master Data Store Databases • Operational Data Store • Packaged Application • Data Mart Databases • Data Warehouse Business Intelligence • Transactional Reporting • Transactional Reporting • Real-Time Dashboards • Operational Reporting Data Access • In-Memory Analytics • Analytical Reporting • Operational Reporting Data • Statistical Analysis Access • Predictive analytics • Analytical Reporting Data Access • Analytical Dashboard Data Access • Operational Dashboard Data Access • Data Mining Master data management • Master Data Hub • Master Data Replication • Master Data Services • Master Data Synchronization Data Modelling • Dimensional Data Modelling • Modelling Standards • E-R Data Modelling • Naming Conventions Connect + Learn = Grow
  • 7. Let’s move on Connect + Learn = Grow
  • 8. Master data management - domain (Master Data Replication) – design pattern • Business Problem Company XYZ Corp: Headquarter + 2 remote locations , all have separate MS CRM instances (one online) • Key requirements • The central master data be synchronized to all instances so that each instance has access to the latest version of the core information. • Solution has to allow : – Secure and reliable cross-boundary communication – Scalability • We need to synchronise: – Reference data, countries, currency codes, products –phase 1 – Transactional data, which describes or results from an action by or with the business. • Only Relevant data should be synchronised • Some data should be published on a portal for customers Connect + Learn = Grow
  • 9. Master data management (Master Data Replication) Connect + Learn = Grow
  • 10. Master data management (Master Data Replication) • Candidate architectures – Database synchronization – SSIS – GEO cluster – File Exchange – Send Email (Pigeons) – Azure Service Bus Connect + Learn = Grow
  • 11. Master data management (Master Data Replication) • Proposed solution – Azure Service Bus with Pub Sub Connect + Learn = Grow
  • 12. Master data management (Master Data Replication) pub /sub Filtering Connect + Learn = Grow
  • 13. Master data management (Master Data Replication) DEMO Connect + Learn = Grow
  • 14. Master data management (Master Data Replication) • Proposed solution benefits – Scalability – (One)(Many)-to-many communication. – Secure and reliable cross-boundary communication. – Improved security. Connect + Learn = Grow
  • 15. Master data management (Master Data Replication) • RU 12 Updates New in Microsoft Dynamics CRM 2011 Update Rollup 12 is a property bag of extra information added to each brokered message Properties. The property bag, available with persistent queue and topic contract endpoints, contains the following information. – Organization Url – Calling user ID – Initiating user ID – Entity logical name – Request name Connect + Learn = Grow
  • 16. Data Integration (ETL Data Quality) • Candidate architectures – 3rd party tools (they are generic) – Manual cleansing process – Build custom .net program – SQL 2012 DQS with SSIS Connect + Learn = Grow
  • 17. Data DQS Account Home Team Revenue Home Address ID Team Type Type Sales Arena Line City State Zip Boston Food & A124324 Celtics Basketball Beverages 655 TD Garden 100 Legends Way Boston MA 2114 2114 New York East 161st Street & 7676862 Yankees Baseball Music 389 Yankee Stadium River Avenue NY NY Seattle 4934235 Mariners Baseball MLB Music 443 Safeco Field 1516 First Avenue S Seattle WA 98134 98134 Data Quality Knowledge Base Account ID Team Type Address Line City State Zip Structure ValuesType Team External address validation provider Rule Synonyms Reference Validation Detection Data Full Address - Composite Domain Connect + Learn = Grow 17
  • 18. Data Integration (ETL Data Quality) • Proposed solution benefits – Toolset already with SQL 2012 – Corporate Knowledge Base – Fast, reliable – Improves DQ on different dimensions • Completeness • Accuracy • Consistency • Uniqueness Connect + Learn = Grow
  • 19. Data Integration (ETL Data Quality) • Proposed solution SQL 2012 DQS together with SSIS Connect + Learn = Grow
  • 20. Data Integration (ETL Data Quality) DEMO Connect + Learn = Grow
  • 21. Data Integration (Connected systems ESB ) • Business Problem XYZ Enterprise has CRM online used by sales team. Invoices generated should promptly appear in ERP system as well as on SharePoint site. • Key requirements – Scalable secure communication – Multiple systems Connect + Learn = Grow
  • 22. Data Integration (Connected systems ESB ) • Candidate architectures – BizTalk – Export Import File – Extended Service Bus Connect + Learn = Grow
  • 23. Data Integration (Connected systems ESB ) • Proposed solution Extended Service Bus Connect + Learn = Grow
  • 24. Data Integration (Connected systems ESB ) Azure AppFabric vs. Server AppFabric Windows Azure AppFabric as a brand name doesn't exist anymore. It is now called Windows Azure "Client Libraries for .NET" Connect + Learn = Grow
  • 25. Data Integration (Connected systems ESB) DEMO Connect + Learn = Grow
  • 26. Complex Event Processing • Business Problem XYZ has network of websites, which sell goods, they want identify the best customers in near real time • Key requirements – Identify best customers in near real time – Information about customers should be in MS CRM Connect + Learn = Grow
  • 27. Complex Event Processing • Candidate architectures – BizTalk – StreamInsight – Message based Event Processing Connect + Learn = Grow
  • 28. Long running processes • Business Problem – XYZ has MS CRM which stores Golden Copy records for financial instruments, GC record is “combined” from at least 3 sources • Key requirements – Multiple different sources – Processing and GC generation takes time Connect + Learn = Grow
  • 29. Long running processes • Proposed solution Windows Server AppFabric Workflows Connect + Learn = Grow
  • 30. Long running processes • Candidate architectures – Workflow inside CRM – BizTalk Orchestration – Windows Appfabric Workflow Connect + Learn = Grow
  • 31. Long running processes What are Workflow Services? WCF Service WF Workflow WCF endpoint Operation External Service WCF endpoint Operation External Service Connect + Learn = Grow
  • 32. Long running processes • Proposed solution benefits – Fully declarative XAML modelling in WF 4 (workflows & activities) – Testable solution – Elastic scale – Improved performance, availability and reliability – A complete hosting environment for long running workflows, including persistence. Connect + Learn = Grow
  • 33. Long running processes (workflows) DEMO Connect + Learn = Grow
  • 34. Long running processes Workflow Manager Workflow Manager 1.0 is a new server which introduces new capabilities for authoring, hosting and managing workflows. These workflows will run at high scale and density, and will support execution in a multi-tenant environment. In addition, Workflow Manager 1.0 is used by SharePoint 2013 Connect + Learn = Grow
  • 35. UI Mashups • Business Problem – Transactional data not visible in MS CRM • Key requirements – 10 million historical transactions visible in MS CRM – Transactional system produces up to 100,000 transactions per day Connect + Learn = Grow
  • 36. Mashups • Candidate architectures – Load all transactions to MS CRM Custom entity – More Licenses for transactional system – UI Mashup Connect + Learn = Grow
  • 37. Mashups • Proposed solution UI Mashup Connect + Learn = Grow
  • 38. Thank you Connect + Learn = Grow
  • 39. Sebastian Waksmundzki EDataLabs Ltd seb@edatalabs.net Thank You to all of our Sponsors and thank YOU for attending eXtremeCRM 2013 Rome! Please remember to fill out your session evaluation survey online! The link to the survey was emailed to you, or go to: http://www.extremecrm.com/Pages/2013RomeSurvey.aspx Complete prior to the closing session to be included in today’s drawing! Connect + Learn = Grow
  • 40. Session Evaluation Survey online: http://www.extremecrm.com/Pages/2013RomeSurvey.aspx Connect + Learn = Grow

Editor's Notes

  1. An architectural pattern is a concept that solves and cohesive elements of a software architecture. Countless different architectures may implement the same pattern and share the related characteristics ie. Etl we know when we have bunch of data we should extract transform and load Design pattern design pattern is a general reusable solution to a commonly occurring problem within a given context i.E Batch ETL
  2. They don’t have corporate WAN, Differences in regional, for example European Union (EU), or national legislation can result in variations in requirements for securing data or maintaining data privacy across the different regions or countries
  3. In the published/sub model, subscribers typically receive only a subset of the total messages published. The process of selecting messages for reception and processing is called filtering. There are two common forms of filtering: topic-based and content-based.In a topic-based system, messages are published to "topics" or named logical channels. Subscribers in a topic-based system will receive all messages published to the topics to which they subscribe, and all subscribers to a topic will receive the same messages. The publisher is responsible for defining the classes of messages to which subscribers can subscribe.In a content-based system, messages are only delivered to a subscriber if the attributes or content of those messages match constraints defined by the subscriber. The subscriber is responsible for classifying the messages.
  4. Show data quality and BDD
  5. You can think of a Workflow Service as a WCF SOAP Service that implements its service operations using workflow activities instead of code. Like WCF SOAP Services, Workflow Services can also compose calls to other external services as a part of their operation implementation.Workflow Services are defined in XAML files with the XAMLX extension and are hosted by a Workflow Service Host within IIS and AppFabric, in a way that is similar to the ServiceHost that runs SVC files for WCF SOAP Services in IIS/AppFabric.The XAMLX files are fully declarative XAML- they have no inline code and depend on types present in the bin directory of the application or the GAC for their operation. They are configured via a web.config in the same way that WCF SOAP Services are.
  6. Huge scaleDynamic programDomain SpecificIntegrated MessagingPub/Sub EventingMulti-tenant
  7. One sourceNorriq