Difference between Big Data and Business Intelligence
Big Data
It refers to the large volume of structured, semi-structured, and unstructured data businesses collect daily. It is a term used to describe data that is too large and complex to be analyzed by traditional methods.
Business Intelligence
Business Intelligence (BI) refers to transforming data into actionable insights that help businesses make informed decisions. It is a set of tools and techniques that organizations use to analyze data and create reports, dashboards, and visualizations that provide insights into their performance. These tools typically include data visualization, data warehousing, and online analytical processing (OLAP).
Big Data vs Business Intelligence
| 1. Big Data collectively refers to the act of generating, capturing and usually processing enormous amounts of data on a continuing basis. | 1. Business Intelligence collectively refers to software and systems that import data streams of any size. |
| 2. Big data uses distributed file systems to store data | 2. Business Intelligence uses data warehousing to store structured data |
| 3. It uses MapReduce and machine learning to analyze unstructured data | 3. It uses OLAP and data mining techniques to analyze unstructured data |
| 4. Typically real-time as it deals with high velocity data | 4. Analysis is typically done on historical data and may not be time-sensitive |
| 5. It deals with large and complex unstructured data | 5. It deals with structured data typically stored in data warehouses |
| 6. Analyzes large volumes of unstructured data using technologies such as Hadoop, Spark, and NoSQL | 6. Analyzes structured data and creates reports and visualizations using BI tools |