Testing in the field of big data is radically different than conventional software. An understanding of how big data is different is critical. The goal of big data projects is very different from what you would see in other areas. Understanding that goal and employing testing techniques suited for these applications is important.

The main sections in the talk:

• What is big data 
• Evolution into big data
• Technologies used in big data 
• How testing in big data is different 
• Types of tests in big data 
• Introduction to data quality
• Pitfalls in big data testing

What will participants learn

• Introduction to big data
• How testing in big data is different
• Levels of testing for big data
• What is data quality 

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