大数据：是指大型组织和企业获得的庞大、庞大或海量的数据、信息或相关统计数据。由于难以手动计算大数据，因此创建和准备了许多软件和数据存储。
它用于发现模式和趋势，并做出与人类行为和交互技术相关的决策。
数据挖掘：数据挖掘是一种从庞大的数据集/库中提取重要和重要信息和知识的技术。它通过仔细提取、审查和处理大量数据以找出对业务很重要的模式和相互关系来获得洞察力。它类似于从岩石和沙子中提取黄金的金矿开采。
下表列出了大数据和数据挖掘之间的差异：
| Data Mining | Big Data |
|---|---|
| It is one of the method in the pipeline of Big Data. | Big Data is a technique to collect, maintain and process the huge information. It explains the data relationship. |
| Data mining is a part of Knowledge Discovery of the Data. It is close view of the data. | It is about extracting the vital and valuable information from huge amount of the data.It is a technique of tracking and discovering of trends of complex data sets. It is a large or overall view of the data. |
| The goal is same as Big Data as it is one of the tool of Big Data. | The goal is to make data more vital and usable i.e. by extracting only important information from the huge data within existing traditional aspects. |
| It is manual as well as automated in nature. | It is only automated as computing huge data is difficult. |
| It only focuses on only one form of data. i.e. structured. | It focuses and works with all form of data i.e. structured, unstructured or semi-structured. |
| It is used to create certain business insights. Data mining is a manager of the mine. | It is mainly used for business purposes and customer satisfaction. Big Data is a mine. |
| It is a sub set of Big Data. i.e. one of the tools. | It is a super set of Data Mining. |
| It is a tool to dig up the vital information from the large data. Data can be large as well as small. | It is more involved with the processes of handling voluminous data. Data can only be large. |