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• Database which is large and
complex.
• Data can be structures and
unstructured.
• It is stated that almost 90%
of today's data has been
generated in the past 3
years.
From Where The Data Comes From
Do We Lead With Big Data?
Through the 3 V’s of Big Data
1.Volume
2.Variety
3.Velocity
•Diversity of
vendors
•Sql on Hadoop
•Lack of talent
•Security
Hadoop is hard
WHY IT IS SO IMPORTANT?
1) Cost Reduction
2) Time Reductions
3) New Product Development
And Optimized Offerings
4) Smart Decision Making
Here we discussed about the big data ,where
the data comes from and how we can manage
the data .
The tools of big data help us to manage the
large amount of data. And the tools have their
pros and cons that where they have to be
used. There are various technology that
manages the huge amount of data .We use 90%
of data in a day that was generated last 3
years . In next few year the data is 3 times
more than today’s data.
Big data

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Big data

  • 1.
  • 2.
  • 3. • Database which is large and complex. • Data can be structures and unstructured. • It is stated that almost 90% of today's data has been generated in the past 3 years.
  • 4. From Where The Data Comes From
  • 5. Do We Lead With Big Data? Through the 3 V’s of Big Data 1.Volume 2.Variety 3.Velocity
  • 6. •Diversity of vendors •Sql on Hadoop •Lack of talent •Security Hadoop is hard
  • 7.
  • 8.
  • 9. WHY IT IS SO IMPORTANT? 1) Cost Reduction 2) Time Reductions 3) New Product Development And Optimized Offerings 4) Smart Decision Making
  • 10. Here we discussed about the big data ,where the data comes from and how we can manage the data . The tools of big data help us to manage the large amount of data. And the tools have their pros and cons that where they have to be used. There are various technology that manages the huge amount of data .We use 90% of data in a day that was generated last 3 years . In next few year the data is 3 times more than today’s data.

Editor's Notes

  1. Hav tobe used