Hadoop is a
data storage processing system that enables data storage, file sharing, data
analytics etc. The technology is scalable & enables effective analysis from
large unstructured data therefore adding value. With increasing role of social
media and internet communication Hadoop is being largely used by various
spectrum of companies ranging from Facebook to Yahoo. Other big users of Hadoop
include Cloudera, Hortonworks, IBM, Amazon, Intel, Mapr, Microsoft.
This
technology facilitates its users to handle more data through enhanced storage
capacity also enables data retrieval in case of hardware failure.
Hadoop as a
solution is increasingly offering data retrieval and data security features.
These features are getting better with time. This is leading to enhanced
solution to database management systems (DBMS). Hadoop software is the highest
growing market in comparison to hardware and services. In terms of geographical
segmentation, North America expected to lead the revenues in this market due to
higher rate of technology adoption.
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The exploding
big data from the web has generated huge opportunities for storage and
analytics software. The development of e-commerce results in increase in amount
of unstructured data from social media. As a result, large and complex datasets
are being generated in almost all business activities. Due to which the need
for storage, maintenance, and analysis of such data sets has arrived. Hadoop
has the ability to handle all types of data from every types of systems. It not
only let you to store data but also to reveal insights by establishing
relationships between different data sets. . The explosion of the volume of
content, and more importantly, new forms of it including Tweets and posts to
social media, has increased the need to use any type of information from nearly
any source.
Companies profiled include
1.Intel
2. Cloudera
3.
Hortonworks
4. Microsoft
5. MapR
Technologies
6. IBM
7. Amazon
8. Cisco
Systems Inc
9. Datameer
10. Teradata
Corporation
11.
Informatica
12. Pentaho
13. Hadapt
14. Cask
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1. 1. Executive Summary
2. Key components of Hadoop:
2.1.
Hardware
2.1.1.
Servers
2.1.2.
Storage
2.1.3.
Network
2.2.
Software
2.2.1.
Application Software
2.2.2.
Management Software
2.2.3.
Packaged Software
2.2.4.
Performance Monitoring Software
2.3.
Services
2.3.1.
Consulting, Training, & outsourcing
2.3.2.
Integration & Deployment.
2.3.3.
Middleware and Support Services
3. Challenges in Hadoop market:
3.1. Quality
search
3.2. Data
handling
3.3. Threat
analysis
3.4. Storage
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4. Key motivator for Hadoop in the market
4.1.
Meteoric Growth in Big Data
4.2. Cloud
Providers looking ahead for Hadoop as a Service
4.3.
Increasing importance of Data Driven Marketing
4.4. Help
Fraud Detectives to evaluate fraud pattern
5. Competitive Intelligence
5.1. Key
Vendors
5.1.1.
Cloudera
5.1.2.
Hortonworks
5.1.3.
Microsoft
5.1.4. Mapr
5.1.5. HP
5.1.6. Intel
5.2. Key
Users
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