Self-Service Data Preparation aka Data Wrangling is becoming more and more popular in BigData and Enterprise world. Data Lake stores tons of different data and it is not easy to get value from it. Traditional approach doesn’t work here, data analysts and data scientists have to wait until IT guys gather requirements and prepare a right dataset for them. Time from raw data to insights is too long. In this session, I invite you together look closer at Self-Service Data Prep and show how it would help to get insights and make decisions faster, onboard new data sources without IT, and increase efficiency for data analysts and data scientists.