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This Edureka tutorial on "Data Science vs Big Data vs Data Analytics" will explain you the similarities and differences between them. Also, you will get a complete insight into the skills required to become a Data Scientist, Big Data Professional, and Data Analyst.
Below topics are covered in this tutorial:
1. What is Data Science, Big Data, Data Analytics?
2. Roles and Responsibilities of Data Scientist, Big Data Professional and Data Analyst
3. Required Skill set.
4. Understanding how data science, big data, and data analytics is used to drive the success of Netflix.
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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
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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
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What is Big Data?
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Large amount of data from various sources
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What is Big Data?
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Large amount of data from various sources
Traditional data processing systems are incapable to deal
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What is Big Data?
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Large amount of data from various sources
Traditional data processing systems are incapable to deal
In terms of volume, variety, veracity, velocity, and value
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What is Data Analytics?
Discovering Useful Information from Data
Supports Decision Making
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Uses qualitative and quantitative techniques
Involves Inspecting, Cleansing, Transforming and Modelling data
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What does a Data Scientist do?
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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
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What does a Big Data Professional do?
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Builds large scale data
processing system
Architect distributed systems
Process the data using
various big data tools &
ensure network connectivity
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What does a Data Analyst do?
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Acquire, Analyze and
Process the data
Create data reports using various
reporting tools
Finding Insights for
captured data
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Skill-set Required…
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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
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What salaries do they get?
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Data Scientist Big Data Professional Data Analyst
$125,000 $66,000$97,000
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An example scenario…
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An example scenario…
Designs and creates environment
using various Big-Data Eco-system
tools to store and process the
Netflix.
Big Data Professional
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An example scenario…
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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An example scenario…
Video Ranker
and User
Experience
Continue
Watching
Trending Video
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Data Analyst
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An example scenario…
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