Big Data vs Data Science vs Data Analytics | Demystifying The Difference | Edureka

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Topics to be covered
What is Data Science, Big Data and Data Analytics?
Roles and Responsibilities
Required skill sets
Example Scenario

What is Data Science?
Combination of mathematics, statistics and programming
Context of problem being solved
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Ability to look at the things differently
Ingenious way of capturing data that is not captured
Hadoop Certification Training

What is Big Data?
Large amount of data from various sources

What is Big Data?
Traditional data processing systems are incapable to deal

What is Big Data?
Traditional data processing systems are incapable to deal
In terms of volume, variety, veracity, velocity, and value

What is Data Analytics?
Discovering Useful Information from Data
Supports Decision Making
Uses qualitative and quantitative techniques
Involves Inspecting, Cleansing, Transforming and Modelling data

What does a Data Scientist do?
Predicts future based on
past patterns making use of
AI and machine learning
Finding co-relations and hidden
patterns from data
Examines data from
multiple sources

What does a Big Data Professional do?
Builds large scale data
processing system
Architect distributed systems
Process the data using
various big data tools &
ensure network connectivity

What does a Data Analyst do?
Acquire, Analyze and
Process the data
Create data reports using various
reporting tools
Finding Insights for
captured data

Skill-set Required…
Data Scientist Big Data Professional Data Analyst
1. Statistical and Analytical skills
2. Data Mining Activities
3. Co-relation
4. Machine Learning
5. Deep learning principles
6. In depth knowledge of programming
7. SQL/Database coding
8. SAS/R Coding
1. Multiple technologies like Hadoop,
Spark, Hive
2. Working with unstructured data
3. General Purpose Programming
4. SQL/Database coding
5. Familiarity with MATLAB
6. Creativity
7. Business skills
8. Data Visualization
1. Data Warehousing
2. Hadoop Based Analytics(HBase,
Hive, Map Reduce)
3. Adobe and Google Analytics
4. Programming skills
5. Scripting and Statistical skills
6. Reporting – with data visualization
software
7. SQL/Database coding.
8. Spread-Sheet knowledge

What salaries do they get?
Data Scientist Big Data Professional Data Analyst
$125,000 $66,000$97,000

An example scenario…
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Designs and creates environment
using various Big-Data Eco-system
tools to store and process the
Netflix.
Big Data Professional

Data Scientist
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Improving content quality
Optimize content caching
Creating personalized
streaming experience
Understanding the
impact of QoE on user
behavior

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Experience
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Data Analyst

Big Data vs Data Science vs Data Analytics | Demystifying The Difference | Edureka

Big Data vs Data Science vs Data Analytics | Demystifying The Difference | Edureka

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