what is big data? what is hadoop and hybernet?

[Nikita Bhopale]

why it is so popular?

what is relation with cloud?
tell me organizational point of ans?
where it is used in organization?
plz specify with example.
thank you

[TatsianaIsakova]

Big Data is extra-large amounts of information that require specialized solutions to gather, process, analyze, and store it to use in business operations.

Machine learning algorithms help to increase the efficiency and insightfulness of the data that is gathered (but more on that a bit later.)

Four Vs of Big Data describe the components:

Volume — the amount of data
Velocity — the speed of processing data
Variety — kinds of data you can collect and process
Veracity — quality, and consistency of data

How big is Big Data? According to the IDC forecast, the Global Datasphere will grow to 175 Zettabytes by 2025 (compared to 33 Zettabytes in 2018.) In case you're wondering what a zettabyte is, it equals a trillion gigabytes. IDC says that if you store the entire Global Datasphere on DVDs, then you'd be able to get a stack of DVDs that would get you to the Moon 23 times or circle the Earth 222 times.

Speaking regarding single Big Data projects, the amounts are much smaller. A software product or project passes the threshold of Big Data once they have over a terabyte of data.

[tmudgal16]

what is big data?
Big data is a data that contains greater variety, arriving in increasing volumes and with more velocity.
This is also known as the three Vs
Types of Big Data Analytics are :
Volume The amount of data matters.
Velocity Velocity is the fast rate at which data is received and (perhaps) acted on.
Variety Variety refers to the many types of data that are available.

what is hadoop and hybernet?

Hadoop
Hadoop software is an open source framework that allows for the distributed storage and processing of large datasets across clusters of computers using simple programming models.

[Riya Bajpai]

'Big Data' is a term used to describe collection of data that is huge in size and yet growing
exponentially with time. Data which are very large in size is called Big Data. Normally we work on data of size MB(Word Doc, Excel) or maximum GB(Movies, Codes) but data in Peta bytes i.e. 10^15 byte size is called Big Data.

Characteristics of big data:
1) Volume
2) Variety
3) Velocity

'Volume' is one characteristic which needs to be considered while dealing with 'Big Data'.
Size of data plays very crucial role in determining value out of data.
Variety refers to heterogeneous sources and the nature of data, both structured and
unstructured.
Velocity The term 'velocity' refers to the speed of generation of data.

Hadoop is an open source framework from Apache software foundation.
Hadoop is written in Java and is not OLAP (online analytical processing).
It is used for batch/offline processing.
It is used to store process and analyze data which are very huge in volume.