Question

There are fundamentals differences between Big Data, Data Mining and Data Analytics. own words and understanding, define each and outline the differences.

Atleast 100 words

Answer 1

The basic difference is that big data is a concept and data mining and data anlytics are techniques.

Big data refers to a large amount of structured,semi-structured and unstructured data. Big data mainly focuses on lots of relationship between data. The main tasks of big data are storage and managing the data.

Data Analytics involves extraction, cleaning, transformation, modeling and visualization of data to extract important information The main purpose of data analytics is to find information in raw data so the derived knowledge can be used for decision making.

Data Mining is a subset of data anlytics. It is a set of techniques for analysis of knowledge to find important patterns and rules. It uses many techniques like statistical and machine learning models etc.

Big Data uses tools like  Hadoop, Spark, Flink, Storm, Kafka etc. These tools help in efficient storage and processing of data. Data Analytics uses tools like Python, R, Tableaue, PowerBI etc. They help in effective cleaning and analysis of data. Data Mining uses tools like statistical modelling and machine learning models. They help in finding patterns and rules.