About this document
Big Data and Hadoop Basics Explained by saif salah is a document available to read on EtoBox.
The document discusses big data and Hadoop. It defines big data as extremely large data sets that cannot be processed by traditional data management tools. It provides examples of big data sources like social media and jet engines. Big data has characteristics of volume, variety, velocity and variability. Hadoop is an open source software framework for distributed storage and processing of large data sets across clusters of computers. The core components of Hadoop are HDFS for storage and MapReduce for proc
- Author
- saif salah
- Language
- EN