Big data is a term that refers to a collection of large and complicated data sets as well as a large amount of data, data management capabilities, social media analytics, and real-time data.
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2. Big data refers to vast, diversified amounts of
data that are growing at an exponential rate.
The volume of data, the velocity or speed with
which it is created and collected, and the variety
or scope of the data points covered (known as
the "three v's" of big data) are all factors to
consider.
Big data is frequently derived by data mining
and is available in a variety of formats.
What is Big Data?
3. VELOCITY
With Velocity we refer to the speed with which data
are being generated
VOLUME
Volume refers to the amount of data generated
through websites, portals and online applications.
Especially for B2C companies, Volume encompasses
the available data that are out there and need to be
assessed for relevance.
VARIETY
Variety in Big Data refers to all the structured and
unstructured data that has the possibility of getting
generated either by humans or by machines.
3 V'S of Data
Science
4. Beter Customer insight
Improve Operations
Provide Better Customer Service,
Create Personalized Marketing Campaigns .
Can Increase Revenue.
Can Increase Profits.
6 Big Data
Benefits
5. Storing Big Data
ANALYSE YOUR DATA
CHARACTERISTICS
Select data source for
analysis
Eliminate redundant data
Establishing the role of
NoSQL
OVERVIEW OF BIG DATA
STORES
Hive
H Base
Hadoop Distributed File
System
Data models: Key value,
graph, document,
column-family.
6. TOPICS FOR NEXT POST
Decision Tree
Artificial Intelligence
Machine Learning
Stay Tuned with
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