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.
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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.
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
15. Qubole
16. Alpine Data Labs
17. Appfluent
18. DataStax
19. Apache Bigtop
20. Cascading
21. Cloudspace
22. Datamine Lab
23. Data Salt
24. Data Torrent
25. Hstreaming
26. Impetus
27. Apache Mahout
28. Nutch
29. VM Ware
30. Emblocsoft
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
15. Qubole
16. Alpine Data Labs
17. Appfluent
18. DataStax
19. Apache Bigtop
20. Cascading
21. Cloudspace
22. Datamine Lab
23. Data Salt
24. Data Torrent
25. Hstreaming
26. Impetus
27. Apache Mahout
28. Nutch
29. VM Ware
30. Emblocsoft
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This Acute Market Reports covers
1. Historical data
2. Revenue forecasts, growth rates and CAGR upto 2021
3. Industry Analysis
4. Competitive Analysis
5. Key geographic growth data
1. Historical data
2. Revenue forecasts, growth rates and CAGR upto 2021
3. Industry Analysis
4. Competitive Analysis
5. Key geographic growth data
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
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
3.1. Quality search
3.2. Data handling
3.3. Threat analysis
3.4. Storage
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
4.1. Meteoric Growth in Big Data
4.2. Cloud Providers looking ahead for Hadoop as a Service
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