# Talend Real-Time Big Data Platform in use

This chapter takes the example of a company that provides movie rental and streaming video services, and shows how such a company could make use of Talend Real-Time Big Data Platform.

You will work with data about movies and directors and data about your customers as you learn how to:

* validate email addresses for customers and standardize phone numbers before sending them to the Customer Support System
* upload data stored in a local file system to the HDFS file system of the company's Hadoop cluster
* join the director data to the movie data to produce a new dataset and store this dataset in the HDFS system too

### In this section

* [Profiling and cleansing data](https://help.qlik.com/talend/en-US/studio-getting-started-guide-real-time-big-data-platform/7.3/profiling-and-cleansing-data)
* [Performing data integration tasks for Big Data](https://help.qlik.com/talend/en-US/studio-getting-started-guide-real-time-big-data-platform/7.3/performing-data-integration-tasks-for-big-data)
* [Working with Data Services](https://help.qlik.com/talend/en-US/studio-getting-started-guide-real-time-big-data-platform/7.3/working-with-data-services)