There are three defining properties that can help break down Big Data. And these three characteristics that define big data are volume, variety, and velocity. Data volume- The volume of data is simply the size of the data and is typically characterized by the amount of information a dataset contains (megabytes, gigabytes, etc.). Data velocity- It refers to the rate at which data is generated and transferred. Data variety- Big Data variety refers to all structured and unstructured data that may be generated by people or machines.

1. 3 V'S OF BIG DATA
VOLUME VELOCITY
BIG DATA
VARIETY

2. DATA VOLUME
The volume of data is simply the
size of the data and is typically
characterised by the amount of
information a dataset contains
(megabytes, gigabytes, etc.). Big
data is also characterised by high
velocity, which describes how
fast new data is generated; a high
variety, which describes the
different types of data
generated; and a high value,
which refers to how useful the
data is.

3. It refers to the rate at which
data is generated and
transferred. This is a crucial
consideration for businesses
that require their data to flow
fast so that they may make the
best business decisions
possible.
DATA VELOCITY

4. Big Data variety refers to all
structured and unstructured
data that may be generated
by people or machines.
Texts, tweets, photographs,
and videos are the most
regularly added data types.
DATA VARIETY

5. BIGDATACOURSE
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Projects : Implementing Big Data Lake for
Heterogeneous Data Sources
Tools Covered During Training : Hadoop
Ecosystem (14+ Tools)
Course Completion Certificate with unique
verification ID.
Resources : Classroom Recordings , Notes,
Assignments , Projects , Interview FAQ's
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