Data Volume

When we talk about big data, first thing comes in mind is amount of data or size of data or quantity of data.

Here Problem is -
How to store large amount of data ?             ...No Problem....use.... HDFS
How to process large amount of data ?         ...No problem....use.... Hadoop Map Reduce


Big Data volume speaks about data which is larger than normal volume of data which was so far stored and processed by traditional system.

If data is larger than normal amount of data then definitely its challenging and expensive to load and process this data. How it can be achieved, let see this in Hadoop Framework.



Data units in Big Data

		Disk Storage	Processor or Virtual Storage
	1  GB	1000 MBs	1024 MBs	1 x 10⁹  Bytes
	1  TB	1000 GBs	1024 GBs	1 x 10¹²  Bytes
	1  PB	1000 TBs	1024 TBs	1 x 10¹⁵  Bytes
	1  EB	1000 PBs	1024 PBs	1 x 10¹⁸  Bytes
	1  ZB	1000 EBs	1024 EBs	1 x 10²¹  Bytes
	1  YB	1000 ZBs	1024 ZBs	1 x 10²⁴  Bytes
	1  BB	1000 YBs	1024 YBs	1 x 10²⁷  Bytes
	1  GeopB	1000 BBs	1024 BBs	1 x 10³⁰  Bytes

Here,

GB       -     GigaBytes
TB       -     TeraBytes
PB       -     PetaBytes
EB       -     ExaBytes
ZB       -     ZettaBytes
YB       -     YottaBytes
BB       -     BrontoBytes
GeopB    -     GeopBytes