This document provides an overview of big data concepts and Hadoop. It discusses the four V's of big data - volume, velocity, variety, and veracity. It then describes how Hadoop uses MapReduce and HDFS to process and store large datasets in a distributed, fault-tolerant and scalable manner across commodity hardware. Key components of Hadoop include the HDFS file system and MapReduce framework for distributed processing of large datasets in parallel.