This document proposes a big data project with the following objectives: 1) Address big data challenges and limitations like data quality, privacy, and scalability. 2) Leverage big data to improve decision making for development areas like healthcare and disaster management. 3) Implement the project in 4 phases to define use cases, requirements, evaluate options, and assess business value.

1. A Proposal
for
BIG DATA

2. 1. SYNOPSIS
2. INTRODUCTION
2.1 Statement of Purpose
2.2 Objectives
3. LIMITATIONS
4. METHODOLOGY
4.1 Phase Plan
4.2 Detailed Budget
3. BENEFITS
4. CONCLUSIONS
TABLE OF CONTENTS

3. SYNOPSIS
• Facebook handles 50 billion photos from its user base.
• Amazon.com handles millions of back-end operations every day.
• The NASA Center for Climate Simulation (NCCS) stores 32 petabytes of
climate observations and simulations on the Discover supercomputing
cluster.
This proposal uses an established three-dimensional conceptual framework to
systematically review literature and empirical evidence related to the
prerequisites, opportunities, and threats of Big Data Analysis for international
development. On the one hand, the advent of Big Data delivers the cost-effective
prospect to improve decision-making in critical development areas
such as health care, employment, economic productivity, crime and security,
and natural disaster and resource management. This has the potential to result
in a new kind of digital divide: a divide in data-based knowledge to inform
intelligent decision-making. This shows that the exploration of data-based
knowledge to improve development is not automatic and requires tailor-made
policy choices that help to foster this emerging paradigm.

4. INTRODUCTION
Big Data, is a large gathering of a data so robust that internal servers
generally can’t handle the scale of information.
1. Big Volume:
• With simple (SQL) analytics
• With complex (non-SQL) analytics
2. Big Velocity:
• Drink from the fire hose
3. Big Variety:
• Large number of diverse data sources to integrate

5. STATEMENT OF PURPOSE
The first is realizing that the real purpose of
leveraging Big Data is to take action – to make more
accurate decisions and to do so quickly. Regardless of
industry or environment, situational awareness means
having an understanding of what you need to know,
what you have control of, and conducting analysis
in real-time to identify anomalies in normal patterns
or behaviors that can affect the outcome of a business
or process. If you have these things, making the right
decision within the right amount of time in any
context becomes much easier.

6. OBJECTIVES
1. Big data challenges
2. Big data joined with behavioral motivation leading
to truly novel social science laws
3. The behavioral sensitivity of the individual as the
core entity in the novel simulation standard
4. A novel standard for evaluation and benchmarking
5. An issue of scalability

7. LIMITATIONS
• Unknown population representation
• Issues of data quality
• Typically not very multivariate (at the person
level)
• Privacy and confidentiality issues
• Difficult to assess accuracy and uncertainty

8. METHODOLOGY

9. PHASE 1
Defining your business use case:-
 As enterprises explore Big Data, the business drivers
vary widely from revenue growth to market
differentiation. We’ve seen companies realize the most
significant benefits from Big Data projects when they
start with an inventory of business challenges and
goals and quickly narrow them down to those
expected to provide the highest return.

10. PHASE 2
 Plan Your Project
 This is where things get specific. As a result of your
research and meetings, you most likely have a nebulous
objective, like “reducing customer churn.” This section
intends to construct a concrete and specific objective
agreed upon by the project sponsors and stakeholders.
• Specify expected goals in measurable business terms.
• Identify all business questions as precisely as possible.
• Determine any other quantifiable business
requirements.
• Define what a successful Big Data implementation
would look like.

11. PHASE 3
 Defining your technical requirements-
 The technical requirements phase involves taking a closer look at
the data available for your Big Data project. This step will enable
you to determine the quality of your data and describe the
results of these steps in the project documentation.
Current Technical Environment :
It’s important to understand what tools are used and the
architecture they are used in, as it sits today.
• Inventory all tools used today.
• Sketch the current architecture.

12. PHASE 4-
 Create a Total Business Value Assessment
 Evaluate your options with a “Total Business Value Assessment”.
This means that you perform at least a 3-year total cost of ownership
analysis, but you also include things like time-to-business value, ease-of-
use, scalability, standards-based, and enterprise readiness.
However, before you get started on evaluating your solution options, it
is important to know your “buying team”. Buying teams generally
consist of stakeholders from multiple organizational levels and
sometimes multiple divisions outside of IT. At a minimum, there
should be an executive sponsor, project champion or project team
lead, technical decision maker, and an economic decision maker.

13. S. No. Phase Requirements Unit Price Quantity Total Phase Total
1. I Information Architect Rs.2000/- 2 Rs.4000/-
2. I Project Manager Rs.7000/- 1 Rs.7000/-
Rs.11000/-
3. II Graphics Designer Rs.3000/- 2 Rs.6000/-
4. II Media Specialist Rs.3000/- 2 Rs.6000/-
Rs.12000/-
5. III Copyright Rs.3000/- 1 Rs.3000/-
6. III Domain Expert Rs.3000/- 1 Rs.3000/-
Rs.6000/-
7. IV Engineers Rs.2000/- 1 Rs.2000/-
8. IV DBA Rs.3500/- 2 Rs.7000/-
Rs.9000/-
BUDGET-RESOURCES

14. S. No. Phase Requirements Unit Price Quantity Total Phase Total
1. I PCs Rs.25000/- 5 Rs.125000/-
Rs.125000/-
2. II Web Development Software Rs.2500/- 6 Rs.15000/-
3. II Internet Connection Rs.3000/- 1 Rs.3000/-
Rs.18000/-
4. III Web Server Rs.6500/- 1 Rs.6500/-
Rs. 6500/-
5. IV Domain Name/year Rs.600/- 1 Rs.600/-
6. IV SEO Rs.6000/- 1 Rs.6000/-
7. IV Site Hosting/year Rs.3000/- 1 Rs.3000/-
Rs.9600/-
BUDGET-HARDWARE &
SOFTWARE

15. BUDGET-TOTAL
Phase Total
Phase 1 Rs.1,36,000/-
Phase 2 Rs.30,000/-
Phase 3 Rs.12,500/-
Phase 4 Rs.18,600/-
Total Rs.1,97,100/-

16. BENEFITS
1. Re-develop your products
2. Reducing maintenance costs
3. Keeping your data safe
4. Perform risk analysis
5. Create new revenue streams
6. Customize your website in real time
7. Making our cities smarter

17. CONCLUSIONS
Many people view “big data” as an over-hyped buzzword. It is,
however, a useful term because it highlights new data
management and data analysis technologies that enable
organizations to analyze certain types of data and handle
certain types of workload that were not previously possible.
The actual technologies used will depend on the volume of
data, the variety of data, the complexity of the analytical
processing workloads involved, and the responsiveness
required by the business. It will also depend on the
capabilities provided by vendors for managing, administering,
and governing the enhanced environment. These capabilities
are important selection criteria for product evaluation.