This presentation provides an overview of Big Data Analysis, including its history, challenges, characteristics, techniques and how it supports businesses. It discusses the challenges of Big Data Analytics such as lack of knowledge professionals, data growth issues, and poor security of data. It also covers the characteristics of Big Data such as volume, variety, velocity, and variability. The presentation concludes by discussing the techniques currently available for analyzing Big Data such as A/B testing, data mining, and machine learning.