big data concept
Big data: refers
to
the collection of
data certain time frame. , high growth rate and diversified information assets
.
It mainly solves the storage of massive data and the analysis and calculation of massive data .
The data storage units are given in order: bit, Byte, KB, MB, GB, TB, PB, EB, ZB, YB, BB, NB, DB.
1Byte= 8bit 1K = 1024Byte 1MB= 1024K
1G = 1024M 1T = 1024G 1P = 1024T
Features of Big Data
Volume (a lot)
Up to now, the data volume of all
printed is
200PB , and the total data volume of the
words spoken by all human beings in history is about 5EB . At present, the capacity of a typical personal computer hard disk is on the order of terabytes, and the data volume of some large enterprises is already on the order of exabytes .
Velocity (high speed)
This is the most significant feature that distinguishes big data from traditional data mining. According to IDC's "Digital Universe" report , global data usage is expected to reach
35.2ZB
by
2020
. In the face of such massive data, the efficiency of processing data is the life of an enterprise.
Variety (variety)
This type of diversity also allows data to be divided into structured and unstructured data. Compared
with
the structured data mainly based on
database
/
text,
which is easy to store in the past , there are more and more unstructured data , including web logs, audio, video, pictures, geographic location information , etc. These multiple types of data process data Ability puts forward higher requirements.
Value (low value density)
The value density is inversely proportional to the size of the total amount of data. For example, in one day's surveillance video, we only care about the minute Mr. Song Song was exercising in bed at night. How to
quickly "purify" valuable data has become a difficult problem to be solved under the current big data background.
What can big data do
O2O: Baidu's big data + platform helps merchants refine operations and increase sales through advanced online and offline technology and passenger flow analysis capabilities
Retail: Explore user value and provide personalized service solutions; run through online and physical retail, and work together to create the ultimate experience.
Classic case, sub diaper
+
beer.
Tourism: Combining big data capabilities with the needs of the tourism industry, we will jointly build the future of smart management, smart services and smart marketing in the tourism industry.
Recommendations for product ads: recommend the types of product ads that have been visited to users
Insurance : Massive data mining and risk prediction help the insurance industry to conduct precise marketing and improve refined pricing capabilities.
Finance : Multi-dimensionally reflect user characteristics, help financial institutions recommend high-quality customers, and prevent fraud risks.
Real estate : Big data helps the real estate industry in an all-round way, creating precise investment strategies and marketing, selecting more suitable places, building more suitable buildings, and selling them to more suitable people.
Artificial intelligence is also inseparable from big data