How to handle Big Data

How to handle Big Data

Context:

There are infinite ways to analyse data but great caution must be exercised while handling large and complex data sets

What is Big Data?

Big data is a term used to denote data sets that are so large or complex that traditional data processing application software is inadequate to deal with them.

Causes of Data Blunders:

• Bias,
• low-quality data,
• unreliable sources,
• technical glitches,
•  an improper understanding of the larger picture,
• lack of proper statistical tools and resources to analyse large volumes of data
• Relying too heavily on a particular model

Way Out:

• Big Data is very complex and involves additional challenge.
• They might involve the use of some skills involving analytics, decision-making skills, logical thinking skills, problem-solving, advanced computational expertise and also statistical expertise.
• Therefore, the use of some routine algorithm is not enough.
• Too much reliance on available software is serious mistake while handling Big Data