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SAP d-kom 2017 App Space

Build apps, earn prizes and earn an App Space badge by completing the online tutorials.

SAP TechEd 2016 tutorials

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Sign up for a free trial account on SAP HANA Cloud Platform

This is a simple 8 step tutorial to walk through signing up for an account on HANA Cloud Platform.
 
Time to complete: 5 minutes

Create an account on the Gateway Demo system

Learn the detailed steps to creating an account on the Gateway Demo System (also known as ES4).
 
Time to complete: 10 minutes

Create an SAP HANA Cloud Platform destination pointing to an SAP Gateway

You will create a destination (a server end-point where HCP can send or receive data) that points to an SAP Gateway OData service.
 
Time to complete: <5 minutes
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Build an SAP Fiori UX app with SAP Gateway data

Use the SAP Web IDE template wizard to build a Fiori UX app displaying information from on OData service in less than 10 minutes.
 
Time to complete: 15 minutes

Commit your project to Git and deploy to the cloud

Create a Git repository in SAP HANA Cloud Platform for your project, commit your project files, and then deploy and your app to the cloud.
 
Time to complete: 10 minutes

Add an XML fragment for a tab in your app

With your app committed to your Git repository, you can now safely make some changes to the app.
 
Time to complete: 15 minutes
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Add a map display to your app

You will add a map display to one of the tabs in your app and geolocate an address associated with the item selected in the master (or list) view.
 
Time to complete: 15-20 minutes

Translate your app into multiple languages

Use the SAP HANA Cloud Platform Translation Hub to automatically generate i18n (internationalization) files for multiple languages.
 
Time to complete: 10 minutes

ABC Analysis with SAP HANA PAL

You will use the SAP HANA Predictive Analytics Library (PAL) to create and run an algorithm to analysis a set of data and separate them in groups.
 
Time to complete: 20 minutes
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Time Series Forecasting with SAP HANA APL

You will use the SAP HANA Automated Predictive Library (APL) to create and run the Automated Time Series algorithm to analyze a signal and forecast the next “n” values.
 
Time to complete: 20 minutes
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