Data refers to information that is represented in a way that allows for processing and usage, while big data specifically refers to extremely large and diverse data sets that grow rapidly in volume, velocity, and variety. Big data differs from standard data in that it handles much larger volumes of information, uses tools like Hadoop and Spark to process and generate insights from huge amounts of data, while standard data analysis focuses on understanding patterns in smaller data sets using tools like Python, SAS, and R.

1. WHAT IS DATA?
• DATA as a general concept refers to
the fact that some existing
information or knowledge is
represented or coded in some form
suitable for better usage or
processing.

2. WHAT IS BIG DATA?
• BIG DATA refers to the large, diverse sets of information that grow at ever
increasing rates. It encompasses the volume of information, the velocity or
speed at which it is created and collected, and the variety or scope of the
data points being covered.

3. DIFFERENCE BETWEEN DATA AND
BIG DATA
BIG DATA
• It handles Large data .
• It process huge volume of data and
generate insights.
• Tools of big data are hapood,
spark, flink.
DATA
• It is analysing data.
• Data understand Pattern within
data and make decision.
• Data tools are python,SAS, R.