We live in a data-driven world. There are more than 4 billion people around the world using the internet. This show an unprecedented spread and growth of digital devices. These digital devices (Mobiles, Computers, Watches, IoT etc) are the factories for creating data. It means we live in the Age of Data, and it’s expanding at astonishing rates. We may need to unplug and take a break from time to time, but data never sleeps. This generation of huge data presents many new challenges as well as opportunities. There would be huge opportunity for the people who could collect, process, manage, drive insights and make useful decisions from this data. Certain fields are becoming very important and necessary to manage and process this data.

1. Ejaz Ahmad Siddiqui
Emerging Opportunities in
The Age of Data

2. Introduction
Ejaz Ahamd Siddiqui
Consultant | E-Commerce Expert | Entrepreneur

3. Overview

4. 4 Billion
There are more than 4 billion people
around the world using the internet.
2018 Global Digital suite , We Are Social and Hootsuite

5. TOTAL
POPULATION
INTERNET
USERS
ACTIVE SOCIAL
MEDIA USERS
UNIQUE
MOBILE USERS
ACTIVE MOBILE
SOCIAL USERS
DIGITAL AROUND THE WORLDOCT
2018
7.655
BILLION
URBANISATION:
55%
4.176
BILLION
PENETRATION:
55%
3.397
BILLION
PENETRATION:
44%
5.118
BILLION
PENETRATION:
67%
3.179
BILLION
PENETRATION:
42%
THE LATEST STATISTICAL INDICATORS FOR INTERNET, SOCIAL MEDIA, AND MOBILE USE AROUND THE WORLD

6. Key Stats
These numbers show an unprecedented spread and growth of internet and digital devices.
These devices are the factories for
creating data.
Internet Penetration
4.2BInternet Users
Mobile Penetration
5.1BUnique Mobile Users
Active Social Media Usage
3.2BActive Mobile Social
Users

7. What does these numbers mean?
We may need to unplug and take a break from time to time, but, data
never sleeps .
Age of Data
it’s expanding at astonishing rates.

8. Data is being created every minute
clicks, likes, shares, rides, transactions, purchases, streaming content, your
footsteps, exercise and what not.

9. Huge data presents many new
challenges as well as new opportunities

10. Opportunity
For the people who could collect, process, manage, drive insights and make
useful decisions from this data.
Certain fields are becoming very important and necessary to manage and
process this data.
Let me share some opportunities, which can yield great benefits for you

11. Opportunity Selection Criterion
01 | Compensation
02 | Demand
03 | Growth
04 | Future

12. You need infrastructure to manage this huge flow of data. This is where cloud
comes in, but cloud does not work on its own, you have to make it work.
You need to people who could talk to businesses and
implement a cloud solution as per their requirements. This
is what a Cloud Solution Architect do.

13. Cloud Solution Architect
A person who could take ideas from the business requirements,
design a solution by putting the right pieces of puzzles at right
places, deploy the solution and make it work optimally.

14. Cloud Solution Architect
An IT specialist who is responsible for deploying and overseeing
a company’s cloud computing strategy.
This includes cloud adoption plans, cloud application design,
cloud management and monitoring.

15. Here is the output of a Construction Architect

16. Here is the output of a Cloud Solution Architect

17. What does a Cloud Architect do?
Its system design transplanted into a cloud setting.
That means designing (and often building) a cloud
deployment which fulfills business goals as far as
performance, cost, and complexity go.

18. Who is this for?
Cloud architecture is an excellent upgrade for the
System Administrators, Network Administrators, Cloud
Practitioners, Team leads, Line Managers and
developers with good system administration knowledge.
01 | Consectetur adipiscing elit
02 | Sed do eiusmod tempor incididunt ut labore
03 | Magna aliqua lorem ipsum dolor sit amet
04 | Eiusmod tempor incididunt ut labore et
05 | Dolore magna aliqua

19. What are the skills required to
become a Cloud Solution Architect?
Basically, its system administration and networking, virtualization and
knowledge of Linux is also very helpful. As you need to deal with server and
networking mostly in Linux environment.
Certificates: AWS Cloud Solution Architect Associate

20. Opportunities

21. Demand
According to a 2018 report from RightScale, 81 percent of enterprises
have a multi-cloud strategy and 38 percent of enterprises view public cloud
as their top priority in 2018 — up from 29 percent in 2017.
https://www.rightscale.com/lp/state-of-the-cloud

22. Growth
The report also found that cloud architect jobs grew in the past year, with
61 percent identifying as a cloud architect in 2018 compared to 56 percent
in 2017.
These numbers suggest that, companies are spending heavily in this field
on top priority. There is a shortage in qualified professionals in this fields,
not only there are lot of high paying jobs but it is growing year by year as
well.

23. Compensation
According to data from PayScale, the average salary for a cloud architect is
$128,418 per year, with a reported salary range between $82,171 to
$185,306 per year depending on experience, location and skills.
https://www.payscale.com/research/US/Job=Cloud_Architect/Salary

24. As per Glassdoor , the average base pay of a Cloud Architect is $142,141/yr

25. Data Scientist

26. What is Data scientist?
“(It’s the) Person who is better at statistics than any software
engineer and better at software engineering than any
statistician”
Josh Wills
Director of Data Engineering at Slack

27. What does a data scientist do?
“(It’s the) Person who is better at explaining the business
implications of analytical results than any scientist and better at
the analytical science than any MBA”
Jennifer Priestly
Associate Dean of The Graduate College and Professor of Statistics and Data Science
at Kennesaw State University

28. What does a data scientist do?
Basically, a Data Scientist use data to find the best decision, in detail it is
like
A data scientist collects data, cleans it, creates data sets, analyzes them and
derives new insights for decision making.
Collect
Data
Cleans it
Create
data sets
Analyze
them
Drive
Insights

29. What does a data scientist do?
He tries to predict the future with the data in hand
and helps businesses improve their quality of
products, services and customer engagements.
Better quality means happy customers and better
revenue.

30. Example
How two major cancer institutions in US are utilizing data science for the
treatment of cancer

31. Opportunities

32. Data is future
Many students and junior professional ask which technology/career has
the best scope. I would say the technology/career whose raw material is most
valuable.
In the wake of digital revolution, big data, AI and cloud computing, the most
important asset a company could have is data. Now, the would need person
who could dig out this data, analyze and interpret its implications to
business decision. This is where data scientists come in.

33. Demand
As per Glassdoor and Monster.com, two of the
world’s largest job and recruiting sites. Data Analysis is
one of the most sought skills in 2018.
https://www.glassdoor.com/blog/improve-your-chances-of-being-hired/
https://www.monster.com/career-advice/article/work-skills-2018-1217

34. Avg Salary: $140K (Rs 1.5+ million) + $4K - $30K Bonuses
Data scientists earn base salaries up to 36% higher than other predictive analytics professionals.

35. As per Burtch Works Study, Among the highest paying tech jobs, excellent growth
With the rise of big data and machine learning, data scientists are becoming a key component in
many industries -- from finance and banking to health care and drug discovery. Companies will be
investing on a big scale in talent acquisition in this field. Source: Forbes

36. Required Skills

37. If we see a high-level overview of required skills for Data Scientists
it is the mixture of Math & Statistics, Substantive expertise and Hacking Skills.

38. An analysis of the required skills listed in Data Scientists jobs descriptions
it is the mixture of Math & Statistics, Substantive expertise and Hacking Skills.

39. Qualities required for data scientist
The three most important qualities every data scientist should have:
1. A good data scientist knows the right questions to ask
2. Understands the structure of the data he has
3. Can interpret it well

40. In a nutshell
Data science is all about asking the right questions
and drawing meaningful insights that can lead to
right decisions.

41. References
● https://wearesocial.com/blog/2018/10/the-state-of-the-internet-in-q4-2018
● Data Never Sleeps 6.0 https://www.domo.com/learn/data-never-sleeps-6
● https://www.rightscale.com/lp/state-of-the-cloud
● https://www.payscale.com/research/US/Job=Cloud_Architect/Salary
● https://www.glassdoor.com/Salaries/cloud-architect-salary-SRCH_KO0,15.htm
● Big Data will impact every part of your life | Charlie Stryker | TEDxFultonStreet
https://youtu.be/0Q3sRSUYmys?t=241
● https://www.glassdoor.com/blog/improve-your-chances-of-being-hired/
● https://www.monster.com/career-advice/article/work-skills-2018-1217
● Burtch Works Study: Salaries of Data Scientists
https://www.burtchworks.com/big-data-analyst-salary/big-data-career-tips/the-
burtch-works-study/
● https://www.glassdoor.com/Salaries/data-scientist-salary-SRCH_KO0,14.htm
● https://www.forbes.com/sites/forbestechcouncil/2017/12/21/13-top-tech-
skills-in-high-demand-for-2018

42. Thank you.