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Learn QlikView with R Integration

Learn How to integrate Microsoft R - Open CPU - R and QlikView Extension Development
3.8 (4 ratings)
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46 students enrolled
Created by Emin TUYLUCE
Last updated 3/2016
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  • 2 hours on-demand video
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What Will I Learn?
You will be able to integrate QlikView with R for statistical needs
You will accelerate datamining process with QlikView
View Curriculum
  • This course needs basic level R and QlikView knowledge.

As a QlikView developer , time to time you need to integrate different tools with your QlikView application . If you can integrate QlikView with R , you can accomplish real time fraud detection , customer segmentation and data mining capabilities to your organization. In this course I am covering R integration which is always problematic for QlikView developers. You will learn integrating right pieces together and how up and run with out problem. This course covers two more amazing R integration compnents one is OpenCPU which you can run on Cloud and secondd one is Microsoft R which including new capabilities for your integration needs.

Who is the target audience?
  • This Course is helpful for mid level QlikView developer.
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Curriculum For This Course
Expand All 12 Lectures Collapse All 12 Lectures 01:52:51
QlikView with R Integration Basics
1 Lecture 04:23

Introduction to QlikView with R integration. Brief information about Integration Methods.

Preview 04:23
Basic Integration
3 Lectures 23:00

In this chapter you will learn how to preparing software environment,such as qlikview , r , statconn installation.

Preview 10:38

In this chapter we will build firs QlikView with R integration examples together. We will develop first R code and QlikView macro.

Preview 05:57

In this chapter we will build more complex integration scenarios, we will extract some data from QlikView and R will execute code.

Creating more complex integration scenarios
Extended Integration Extension Object Microsoft R - Open CPU
3 Lectures 36:53

In this chapter you will learn how Extended QlikView and R integration basics. You will understand all components and requirements

Extended Integration Basics and Preparing Microsoft R Enviroinment

This chapter you will learn preparing integration environment. We will install Microsoft Open R , and components such as Mongo DB , and R package installation

Install , Configure Up and Run Microsoft R

This Section we will use our extension object to integrate QlikView with R and you will learn basics of QlikView Extension objects.

Integrate Microsoft R with QlikView Learn Extension Object Development
Extended Integration Extension Object Open CPU - Microsoft R
5 Lectures 48:35

You will learn how to install OpenCPU for R integration environments.

Extended Integration Preparing OpenCPU Environment

In this chapter as a bonus you will learn how to install RStudio for preparing integration package.

Up and Run RStudio

In this chapter you will learn how easy to build R package development in RStudio.

Building R package with RStudio

In this Chapter integration environment is ready , so you will learn how to integrate QlikView with R . You will use extension object and you will learn OpenCPU test front end.

Integrate OpenCPU with QlikView Learn Extension Object Development

In this chapter you will get overall view about database level Integration.

Database Level Integration Ideas
About the Instructor
3.8 Average rating
4 Reviews
46 Students
1 Course
Senior Business Intelligence Consultant

Emin Tuyluce is a Senior Business Intelligence Consultant . He received his Computer Engineering diplomas from the Computer Science Department of the Cyprus International University. Before and After Graduation, he worked as a Senior Software Developer at major software development companies in Turkey. In 2009, he decided to change his career and specialised in the BI Area . His first BI development experience started with Qlikview apllications. He also worked on some fraud detection and risk management projects for a number of insurance companies.

Moreover, he worked as a Datawarehouse and ETL Consultant on different projects for major financial services organisations. He is currently writing about BI in his personal blogs, mostly about QlikView.

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