Hello geeks…!
Today am going to present real world picture and scenario of big data and all
related supportive contents along with it. Like
what is it…?
How it is created…?
How it’s going to change the world...?
Effects…?
Necessity…?
and lots more things.
What
is BIG-DATA?
In simple words we can define big data as huge/massive amount
or collection of data which can be of almost any-type, any-size and variety.
Big
Data | Estimated Size
According to IBM-
“Around 2.5 quintillion bytes of data is created every day.”
“Around 2.5 quintillion bytes of data is created every day.”
Big
Data | Types
There are generally 2 types of data exist in current
scenario:
- Structured Data:
[Data that resides in a fixed field within a record or file is called structured data.]
- Unstructured Data
[It is type of data that includes text, audio, videos, photos, web pages, documents, email messages, word processing etc.]
According to TCS-
“In current world almost 51% of data is structured data. 27% data is unstructured data while rest 21% is called semi-structured data. ”
“In current world almost 51% of data is structured data. 27% data is unstructured data while rest 21% is called semi-structured data. ”
Big
Data | Generated Jobs
According to GARTNER-
“There are as much as 4.4 million IT jobs will be created globally to support big data by 2015. The technology will generate 1.9 million IT jobs in the USA alone and rest all will get divided in the whole world. ”
“There are as much as 4.4 million IT jobs will be created globally to support big data by 2015. The technology will generate 1.9 million IT jobs in the USA alone and rest all will get divided in the whole world. ”
Big
Data | Talent Required
According to McKinsey-
“The USA alone could face a talent shortage of around 140K – 190K peoples by 2018. Further this shortage can get exceeded. According to their estimation the shortage can reach upto 1.5 million, which will include managers, analysts etc. to make effective decisions on big data. ”
“The USA alone could face a talent shortage of around 140K – 190K peoples by 2018. Further this shortage can get exceeded. According to their estimation the shortage can reach upto 1.5 million, which will include managers, analysts etc. to make effective decisions on big data. ”
Big
Data | Re-Planning
According to TEK Systems-
“Around 81% of IT leader and 77% of IT professionals believe there is a considerable shortage of talent that could make best use of their organization’s data assets.”
“Around 81% of IT leader and 77% of IT professionals believe there is a considerable shortage of talent that could make best use of their organization’s data assets.”
Big
Data | Utilization/Requirement
According to TEK Systems-
“Around 66% of IT leader and 53% of IT professionals believe their organizations need to build new platforms, structures to make use of their vast mammoth data management needs, thereby getting rid of the current systems.”
“Around 66% of IT leader and 53% of IT professionals believe their organizations need to build new platforms, structures to make use of their vast mammoth data management needs, thereby getting rid of the current systems.”
Big
Data | Business Values
Tata Consultancy Services has highlighted 3 major challenges
for companies:
- Making business share information across organizational lines
- Dealing with 3 V’s of big data
- Making business share information across organizational lines
- Dealing with 3 V’s of big data
- Determining which
data could be best used under different conditions.
Big Data | Quality
According to TEK Systems-
“Around 57% of IT leaders and 52% of IT professionals claim that they don’t know always who is the owner of data, meaning quality more or less lies on the back burner. Ensuring the accuracy and quality of data will be critical in the times to come in an ever expanding universe of big data. ”
“Around 57% of IT leaders and 52% of IT professionals claim that they don’t know always who is the owner of data, meaning quality more or less lies on the back burner. Ensuring the accuracy and quality of data will be critical in the times to come in an ever expanding universe of big data. ”
Big
Data | Data Management
According to COMPTIA-
“Nearly eight in 10 data executives believe that harnessing all of their enterprise data would result in a stronger business.”
“Nearly eight in 10 data executives believe that harnessing all of their enterprise data would result in a stronger business.”
Big
Data | Business Driver
According to EMA and 9Sight Consulting-
the 3 big data business drivers include:
- Speeding time for operational or analytical workloads
[around 39%]
- Increasing competitive advantage with flexibility of data used in business solutions
[around 34%]
- Business requirements for higher levels of advanced analytics
[around 31%]
the 3 big data business drivers include:
- Speeding time for operational or analytical workloads
[around 39%]
- Increasing competitive advantage with flexibility of data used in business solutions
[around 34%]
- Business requirements for higher levels of advanced analytics
[around 31%]
Big
Data | Implementation
According to EMA and 9Sight Consulting-
“Big data implementations in production rose from 27% in 2012 to 34.3% in 2013.”
“Big data implementations in production rose from 27% in 2012 to 34.3% in 2013.”
Big
Data | Tools
According to Giga Space-
“Nearly 80% people in IT are either using or planning to use dedicated big data tools to manage massive amounts of data in their organizations.”
“Nearly 80% people in IT are either using or planning to use dedicated big data tools to manage massive amounts of data in their organizations.”
Big
Data | Expenditures
According to TCS-
“Around 15% of the companies surveyed had spent at least $100 million each on big data in 2012, while 7% had invested at least $500 millions.”
“Around 15% of the companies surveyed had spent at least $100 million each on big data in 2012, while 7% had invested at least $500 millions.”
Big
Data | Expenditures based on Sectors
According to TCS-
“Travel related, high tech, share and banking industries have been the biggest spenders while industries related to life science, retails and energy have spent the least.”
“Travel related, high tech, share and banking industries have been the biggest spenders while industries related to life science, retails and energy have spent the least.”
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