How to connect Youtube Analytics to Qlikview

Discover how to connect Youtube Analytics to Qlikview and how to integrate Youtube Analytics with other data sources to build an organization-wide data model.

WITH DATA VIRTUALITY PIPES
Replicate Youtube Analytics into a target storage and analyze it with Qlikview.
How to connect Youtube Analytics to Qlikview with Pipes


About Youtube Analytics

YouTube is a renowned video-sharing platform that enables users to view, upload, share, rate, and comment on videos. It makes use of Adobe Flash Video technology to display a wide variety of corporate media and user-generated videos. Content on YouTube includes TV show clips, video clips, audio recordings, music videos, movie trailers, short original videos, video blogging, and educational videos.

About Qlikview

Qlik is one of the leaders in data discovery and Business Intelligence software for self-service data visualization and guided analytics. With Qlikview users are enabled to create visualisations, dashboards and apps in order to address the company’s most relevant business questions.

MOVE YOUR DATA WITH PIPES

Pipes allows you to connect to Youtube Analytics, Qlikview and more than 200 other cloud services and databases. Automate your data workflows with data pipelines.

DATA VIRTUALITY OFFERS TWO PIPES SOLUTIONS

depending on your needs.

Pipes

Easy and reliable data replication in the cloud

Pipes enables you to move data from any data source to your target storage or data warehouse on schedule. Integrate your data with just a few clicks and without any coding.

Pipes Professional

Advanced data replication hosted in the cloud or on-premises

Pipes Professional enables you to transform and model your data with SQL before replication. Customize your data pipelines and build data models across sources in 80% less time.

Pipes Professional features include:

  • Cloud/On-Premises Hosting
  • Complex Data Transformations
  • Advanced Jobs & Schedules
  • Multiple Target Storages
  • Custom Extraction Definitions
  • Job Dependencies
  • SQL Modelling Layer
  • Complex Replication Types
  • Custom Job Triggers
Your future with automated data workflows is only a few clicks away.