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Phenomenal Growth of Hadoop
 The Hadoop market is currently growing at a faster pace due to the rising demand for
quicker access to relevant data for everyday functioning across industry sectors.
 As per the recent study, big market for Big Data has been predicted and will tend to
augment the revenue at 32% a year till 2016.
 Additionally, the service market will also increase at a rate of
27% annual growth rate, along with the technology.
Career Opportunity with Hadoop
A number of growing opportunities for Hadoop are emerging from a changing environment where
Big Data affects IT budgets in two ways:
 Necessity to accommodate exponentially increasing amounts of data (processing,
storage, analysis);
 Progressively cost-prohibitive pricing models imposed by established IT vendors.
Why Opt for Hadoop??
Hadoop Developers are in great demand by most the IT industries. Companies that are
hiring Hadoop professionals now and in the future are in search for various roles including:
 Product managers
 Hadoop developers
 Database administrators
 Team leads
 Software testers
 Senior Hadoop developers
 Engineers and professionals
with operating skills
Four Programs of Study in Hadoop
Hadoop Common – This acts as the information
centre containing the collections of Hadoop
libraries.
HDFS – Hadoop Distributed Filing System stores
the high band of frequencies.
Hadoop YARN – YARN is used to organize that
line up the users’ function in a collection.
Hadoop MapReduce – MapR is used in
processing all sets of data.
Advantages of Hadoop
 One of the foremost advantages is that Hadoop is
cost-effective in comparison to other traditional
databases when it comes to storing and performing
computations on data.
 Hadoop comfortably accesses different kinds of
business solution data and has proved its prowess in
decision making.
 It also acts as an enabler for social media, emailing,
log processing, data warehousing and error detection.
 By mapping the data wherever it is placed, Hadoop
minimizes the time taken in unfolding any data. It can
work on large petabytes of data in an hour’s time
which makes it super-fast.
What do Researchers Have To Say??
 According to the Transparency Market Research market report, the Hadoop market is estimated
to reach $20.9 billion in 2018.
 The Bureau of Labor Statistics (BLS) reports that demand for operations
research analysts is expected to jump 22 percent from 2008-2018.
 As per the recent survey, the Big Data Analytics Global Market
is expected to grow by 14.4% CAGR over the span of next five
years.
Hadoop Median Salary by Job
INR795,884
INR665,650
INR561,220
INR896,796
INR1,764,276
INR1,350,000
Senior Software
Engineer
Data
Scientist, IT
Software
Engineer
Sr. Software
Developer
Technical
Architect
Lead Software
Engineer
At present, the Hadoop market is growing at a faster pace due to the
rising demand for quicker access to relevant data for day-to-day
functioning across the industry sectors.
According to a recent survey, with India and China catching up with UK
and US in Hadoop job trends, annual compensation of IT professionals
is significantly increasing.
Why Collabera TACT?
• One to one support
• Moderators in every
training batches
• Small batch sizes
• Ability to customize
trainings as per
clients expectations
• Industry recognized
curriculum
• Proof of concept
• Certification on
completion of course
24x7 LMS Support
Strong focus on core
concepts and industry
practiced content
Team of expert
Faculties and Trainers
Excellent training infrastructure
providing seamless training
experience
UNIQUE TRAINING METHODOLOGY
TACT – KEY DIFFERENTIATORS
The TACT DifferenceTraditional Training
Highly efficient, Rapid Mobilization
and scaling
Candidate Centric TrainingMonotonous Training
Inefficient, one at a time
Insulated and monopolistic
Theory based examples
Globally recognized training
standards
Engaged and Synergistic
Industry based practical
illustrations
Low quality infrastructure State of the art infrastructure
Average faculties Highly competent trainers
No assistance after training Deployment assistance after
training
No benchmark on training
standards
Thank You !!
Contact: +917573027905/
0265-6193979
Email: jointact@collabera.com
www.collaberatact.com

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Future Market Trend Of Big Data Hadoop

  • 1.
  • 2. Phenomenal Growth of Hadoop  The Hadoop market is currently growing at a faster pace due to the rising demand for quicker access to relevant data for everyday functioning across industry sectors.  As per the recent study, big market for Big Data has been predicted and will tend to augment the revenue at 32% a year till 2016.  Additionally, the service market will also increase at a rate of 27% annual growth rate, along with the technology.
  • 3. Career Opportunity with Hadoop A number of growing opportunities for Hadoop are emerging from a changing environment where Big Data affects IT budgets in two ways:  Necessity to accommodate exponentially increasing amounts of data (processing, storage, analysis);  Progressively cost-prohibitive pricing models imposed by established IT vendors.
  • 4. Why Opt for Hadoop?? Hadoop Developers are in great demand by most the IT industries. Companies that are hiring Hadoop professionals now and in the future are in search for various roles including:  Product managers  Hadoop developers  Database administrators  Team leads  Software testers  Senior Hadoop developers  Engineers and professionals with operating skills
  • 5. Four Programs of Study in Hadoop Hadoop Common – This acts as the information centre containing the collections of Hadoop libraries. HDFS – Hadoop Distributed Filing System stores the high band of frequencies. Hadoop YARN – YARN is used to organize that line up the users’ function in a collection. Hadoop MapReduce – MapR is used in processing all sets of data.
  • 6. Advantages of Hadoop  One of the foremost advantages is that Hadoop is cost-effective in comparison to other traditional databases when it comes to storing and performing computations on data.  Hadoop comfortably accesses different kinds of business solution data and has proved its prowess in decision making.  It also acts as an enabler for social media, emailing, log processing, data warehousing and error detection.  By mapping the data wherever it is placed, Hadoop minimizes the time taken in unfolding any data. It can work on large petabytes of data in an hour’s time which makes it super-fast.
  • 7. What do Researchers Have To Say??  According to the Transparency Market Research market report, the Hadoop market is estimated to reach $20.9 billion in 2018.  The Bureau of Labor Statistics (BLS) reports that demand for operations research analysts is expected to jump 22 percent from 2008-2018.  As per the recent survey, the Big Data Analytics Global Market is expected to grow by 14.4% CAGR over the span of next five years.
  • 8. Hadoop Median Salary by Job INR795,884 INR665,650 INR561,220 INR896,796 INR1,764,276 INR1,350,000 Senior Software Engineer Data Scientist, IT Software Engineer Sr. Software Developer Technical Architect Lead Software Engineer At present, the Hadoop market is growing at a faster pace due to the rising demand for quicker access to relevant data for day-to-day functioning across the industry sectors. According to a recent survey, with India and China catching up with UK and US in Hadoop job trends, annual compensation of IT professionals is significantly increasing.
  • 10. • One to one support • Moderators in every training batches • Small batch sizes • Ability to customize trainings as per clients expectations • Industry recognized curriculum • Proof of concept • Certification on completion of course 24x7 LMS Support Strong focus on core concepts and industry practiced content Team of expert Faculties and Trainers Excellent training infrastructure providing seamless training experience UNIQUE TRAINING METHODOLOGY
  • 11. TACT – KEY DIFFERENTIATORS The TACT DifferenceTraditional Training Highly efficient, Rapid Mobilization and scaling Candidate Centric TrainingMonotonous Training Inefficient, one at a time Insulated and monopolistic Theory based examples Globally recognized training standards Engaged and Synergistic Industry based practical illustrations Low quality infrastructure State of the art infrastructure Average faculties Highly competent trainers No assistance after training Deployment assistance after training No benchmark on training standards
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