What big data analysts need most are the skills to translate relevant information into useful observations. ![]() Far more is needed than the ability to navigate relational databases and calculate statistical results. Old school, traditional data analysis cannot cope with the volume of big data, which includes both unstructured and structured data. The goal of a big data analyst is to help organizations make better, more-informed decisions. That said, a growing number of organizations make no distinction between the two positions. One of the primary differences between a big data analyst and a data scientist is the level of education – data scientists often need a master’s degree, while big data analysts come with experience and may not have a degree related to Data Science. They uncover hidden patterns, customer preferences, and market trends. Big data analysts examine vast amounts of varied data. ![]() With the increasing use of big data by organizations in every field, the need for big data analysts will continue to grow.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |