The document introduces Daniel Templeton and Inyoung Cho, who will be hosting a hands-on Hadoop lab. They define "big data" as any data that is difficult to store in a traditional database due to size, changing schemas, or being unstructured. The lab will take about 2 hours and cover Hadoop components like HDFS for distributed storage, MapReduce for parallel processing, and Hive, Impala, and Pig for querying data. Questions are welcome from attendees.