Sharing and Deploying MATLAB Programs Sundar Umamaheshwaran Amit Doshi Application Engineer-Technical Computing

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1 Sharing and Deploying Programs Sundar Umamaheshwaran Amit Doshi Application Engineer-Technical Computing 2016 The MathWorks, Inc. 1

2 Summary: Data Analytics Workflow Business Systems Smart Connected Systems Data Acquisition Engineering, Scientific, and Field Business and Transactional Data Analytics Data Pre-processing Feature Extraction Building algorithms, math models Making business decisions : Single Platform Analytics Integration Integrate algorithms with IT Analytics run on Embedded targets 2

3 Data Analytics Workflow: Analytics Integration 3

4 Analytics Integrated with Enterprise Level Application 4

5 Programs Can be Shared With Anyone Share With Other Users Share With People Who do Not Have 5

6 Before We Share Apps- Ways to Build Apps in Use GUIDE Use Functions to Create Apps Programmatically Use App Designer 2016 a 6

7 Why App Designer GUIDE is our current offering for building apps with user interfaces Existing customers have expressed concerns Design environment looks dated Component set is limited Programming app behavior is challenging Difficult to share data between parts of the app Generated code is hard to understand No editor integration GUIDE 7

8 App Designer Enhanced design environment Expanded UI component set Code integration Tight synchronization of design and code views with embedded editing New object-based code format Built on Web Technology 8

9 App Designer is Not a Replacement for GUIDE (today) Limited graphics support Only 2D line and scatter plots are supported Does not support zoom, pan, rotate Does not support custom interaction through mouse and keyboard callbacks Some existing UI components are not supported e.g., components for creating menus, toolbars, or tables Optimized for small to medium apps (<100 components) 9

10 Available Resources for App Designer Dedicated landing page Overview video Summary of key features Comparison with GUIDE Summary of graphics support Examples 10

11 Write Your Programs Once Then Share To Different Targets Compiler Compiler SDK Apps Files Standalone Application Excel Add-in Hadoop C/C ++ Java.NET Python Production Server Custom Toolbox With Users With People Who Do Not Have 11

12 Share with Users Apps Custom Toolbox Files Package an App Package Entire Toolboxes Directly share files.mltbx 12

13 App Packaging Apps are self-contained tools, typically with a User Interface Package your app as single installation file Easy distribution and installation into the apps gallery Automatically includes all necessary files Documents required products 13

14 Custom Toolbox Packaging Package your toolbox as a single installer file Contains all of the code, data, apps, documentation, and examples Checks for dependent files and automatically includes them Documents required products Included folders and files automatically appear on path when installed View details and uninstall toolboxes with Manage Custom Toolboxes dialog box 14

15 Programs Can be Shared With Anyone Share With Other Users Share With People Who do Not Have 15

16 Integrate analytics with your enterprise systems Compiler and Coder Coder Compiler and SDK.exe.lib.dll 16

17 Compiler SDK or Coder for C code? 17

18 Share with People Who Do Not Have Compiler Compiler SDK Standalone Application Excel Add-in Hadoop C/C ++ Java.NET Python Production Server Share Applications Built Completely in Integrate Programs With Your Own Software Royalty-free Sharing IP Protection via Encryption 18

19 Share Applications Built Completely in Application Author Toolboxes 1 2 Compiler End User Standalone Application Excel Add-in Hadoop 3 Runtime 19

20 Integrate Programs With Your Excel Application Author Toolboxes Application author and software developer might be same person 1 Compiler 2.Excel Add in 3 Runtime Python Java 20

21 Integrate Programs With Your Own Software Application Author Toolboxes Application author and software developer might be same person 1 Software Developer Compiler SDK 2 C/C ++.NET Production Server 3 4 Runtime Python Java 21

22 Scale Up with Production Server Most efficient path for creating enterprise applications Production Server(s) Deploy programs into production Manage multiple programs and versions Hot Deployment: Update programs without server restarts Reliably service concurrent requests Web Server(s) Integrate with web, database, and application servers 22

23 Production Server Enterprise Class Framework For Running Packaged Programs Server software Manages packaged programs and worker pool Runtime libraries Single server can use runtimes from different releases RESTful JSON interface and lightweight client library (C/C++,.NET, Python, and Java) Enterprise Application MPS Client Library Enterprise Application RESTful JSON Production Server Request Broker & Program Manager Runtime 23

24 Production Server Demos Analytics Running using MPS Solar Radiation Estimation WebApp 24

25 Layers of Data Analytics Presentation Layer Data Visualization Analytics Layer Open Source Enterprise Data Layer Data Warehouses Databases 25

26 Analytics with TIBCO Spotfire analytics for use with Spotfire desktop, web, and mobile visualizations and dashboards Individual sessions for small scale analytics support Production Server for large scale, robust analytics support Develop Refine Test Production Server TIBCO Spotfire Refine Develop Analytics Test 26

27 Reference Diagram Mobile Web Desktop MathWorks. MPSExtension TIBCO Spotfire Web Player MathWorks. MPSExtension HTTP(s) Production Server Analytics TIBCO Spotfire Server 27

28 Share with People Who Do not Have Program once, then choose your target: Desktop, Web, Enterprise applications C++, Java, Python,.NET Royalty-free distribution Encryption to protect your IP 28

29 Online Resources Documentation Create and Share Toolboxes Website Desktop and Web Deployment Free White Paper Building a Website with Analytics Website Using With Other Programming Languages 29

30 Additional Resources Documentation Source Control Integration Techniques for Improving Performance Unit Testing Framework Webinars Programming with Speeding up Applications Central Open exchange for the and Simulink user community 30

31 2016 The MathWorks, Inc. 31

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