Hello everyone! Data is required for every organisation in every field in today's world, and personal life. so, I am here to introduce how about What is Data and What is large scale computing.

1. Big data analytics
and large-scale
computers
Present By:-
Shubham Khurana
Sanjeev Jena

2. Big data Analytics
Big data analytics examines large amounts of data to
uncover hidden patterns, correlations and other
insights.

3. Characteristics of big data analytics
1.Volume
Volume is one of the characteristics of big data. We already know that
Big Data indicates huge ‘volumes’ of data that is being generated on a
daily basis from various sources like social media platforms, business
processes, machines, networks, human interactions, etc.
2.Variety
Variety of Big Data refers to structured, unstructured, and semi
structured data that is gathered from multiple sources.

4. Characteristics of big data analytics
3. Velocity
Velocity essentially refers to the speed at which data is being created in
real-time.

5. Who is using big data analytics
1. Healthcare
Big data analytics in medicine and healthcare integrates analysis of
several scientific areas such as bioinformatics, medical imaging, sensor
informatics, medical informatics and health information.

6. Who is using big data analytics
2. Academia
Utilizing big data can help colleges and universities gain access to
valuable insights for optimizing marketing output and improving
academic planning and administration.

7. Who is using big data analytics
3. Banking
Big data analytics can improve the extrapolative power of risk models
used by banks and financial institutions. Big data can also be used in
credit management to detect fraud signals and same can be analyzed in
real time using artificial intelligence.

8. Who is using big data analytics
4. IT
The applications of big data analytics include: recommendation,
clustering, classification and frequent pattern matching. Examples for
the application of big data analytics are categorized into:
a) IT staffing and resourcing,
b) b) IT service level and problem management, and
c) c) IT governance and risk management

9. Who is using big data analytics
5. Transportation
Big data analytics help the public transportation sector to predict
passenger volumes as precisely as possible. In this context, for
example, certain events such as bad weather, holidays, malfunctions
and customer feedback from running transportation operations can be
analyzed and processed in real time.

10. Advantages of big data analytics
1. Cost optimization
2. Improve efficiency
3. Foster competitive pricing
4. Innovate
5. Control and monitor online reputation

11. Tools of big data analytics
1. Tableau
2. Power BI
3. SAS visual analytics
4. Apache Hadoop

12. Large scale computing
Big data analytics examines large amounts of data to
uncover hidden patterns, correlations and other
insights.

13. Challenges in Large scale computing
1. Cost
Cloud computing itself is affordable, but tuning the platform according
to the company’s needs can be expensive. Furthermore, the expense of
transferring the data to public clouds can prove to be a problem for
short-lived and small-scale projects.

14. Challenges in Large scale computing
2. Password Security
Industrious password supervision plays a vital role in cloud security.
However, the more people you have accessing your cloud account, the
less secure it is. Anybody aware of your passwords will be able to
access the information you store there.

15. Challenges in Large scale computing
3. Data Privacy
Sensitive and personal information that is kept in the cloud should be defined
as being for internal use only, not to be shared with third parties. Businesses
must have a plan to securely and efficiently manage the data they gather.

16. Importance of large-scale computing
1. Efficiency
2. Flexibility
3. Strategic edge

17. How big data analytics and large-scale computing
work together
1. Helps in greater efficiency in analysis.
2. Easy in handle bulk data.
3. Easy in accessible.
4. Forecasting with the help of numerous data.

18. Thank you