1. Big Data
& today’s growing need of
professionals

2. What is Big Data ?
 Does Big means Large in Size
 Does Big means Large in Quantity
 Does Big means different in Variety

3. What is Data & Big Data ?

4. The 4Vs of Big Data

5. What makes Data Big?

6. Why it matters to you?
 The real issue is not that you are acquiring large amounts of data. It's what you do with the data
that counts. The hopeful vision is that organizations will be able to take data from any source,
harness relevant data and analyze it to find answers that enable
 cost reductions,
 time reductions,
 new product development and optimized offerings, and
 smarter business decision making. For instance, by combining big data and high-powered
analytics, it is possible to:
 Determine root causes of failures, issues and defects in near-real time, potentially saving billions
of dollars annually.
 Optimize routes for many thousands of package delivery vehicles while they are on the road.
Generate retail coupons at the point of sale based on the customer's current and past purchases.
 Send tailored recommendations to mobile devices while customers are in the right area to take
advantage of offers.
 Recalculate entire risk portfolios in minutes.
 Quickly identify customers who matter the most.
 Use click stream analysis and data mining to detect fraudulent behavior.

7. Big Data – Value

8. Got Big Data ?
Source - Jasper Big Data Index Http://www.jaspersoft.com/big-data-index
Major players in Big
Data software industry
are:
1.Hadoop-Hive
2.MongoDB
3.Hadoop-HBase
4.Cassandra

9. Big Data - Skill required
Big Data is
impacting all
industries. What
big Data skills will
professionals in
these industries
need to achieve
their business
goals 

10. Top Skills in Demand
Structured Query Language (SQL)
Business Intelligence
SAS Business Analytics Software
Data Analysis
Business Analysis
Data Warehousing
Business Processes
Data Management
Extract, Transform & Load (ETL) developers
Data Modeling

11. Data Scientists
The era of Big Data
Has created a talent
gap for people who
can pull actionable
insight out of raw data.
The data Scientist – is
in demand with a
15,000% jump in job
posts between 2011-
2012.
Harvard Business Review