Embed presentation
Download as PDF, PPTX


























This document discusses big data and how it can be analyzed. It defines big data as data that is too large, complex, and dynamic for conventional tools to handle due to its volume, velocity, and variety. It then lists some examples of the huge amounts of data created every day and discusses how organizations have benefited from improved risk management, increased sales, better management control, and other gains through big data analysis. The document also outlines some common Hadoop tools used for working with big data, like HDFS, MapReduce, Hive, HBase and Zookeeper. It notes that big data solutions can be implemented using vendors like Cloudera or Hortonworks or Amazon services and asks if results can be obtained even faster using tools

























