Abstract

• Today, as technologies advance, so does the data usage. This makes many organizations need to handle a lot of data creating huge data collection which affects all sectors. A larger amount of data assumingly could give a better output however manipulating such amount of data with different structures becomes a challenge. A specific generation of analytical tools is increasing in use to handle such an increase in the data, structured and unstructured data. With appropriate big data analytical tools, an organization or individual can manipulate large amounts of diverse data to solve specific problems. The major objectives of the research are to analyze some popular big data analytics tools for structured and unstructured data using case studies to support better analytics.