Data proliferation

DATA PROLIFERATION

1. Data proliferation is an umbrella term concerned with the large number of files & amount of data stored by entities such as governments &businesses. These entities need more space& hardware, but data proliferation is moving faster than computer advancements.

2. It does not matter what type of information is stored, whether it is structured or unstructured, all that matters is that computer memory is being taken up.

3. Storing all this data can be difficult, leading to extra costs. Another problem with data proliferation is that the network on which the data is stored & all associated programs tends to slow down.

4. If an average computer user needs more computer memory, he typically just gets a large hard drive. When a large entity needs more memory, it typically must get more servers. A massive number of severs may be needed to hold everything the entity needs to store. This is because computer technology is not yet able to make a device capable of holding all the information, which means a large entity must continue buying & using more & more hardware.

5. Some data terms or problems only concerns one type of information. When it comes to data proliferation , it does not matter what type of data are involved. As long as computer memory is taken up at rapid rate, then data proliferation becomes a problem.

6. One of the many problems with data proliferation is cost. Aside from the cost of extra storage hardware, there also a physical storage & human resources costs.

7. The servers must be placed somewhere & people must be employed to ren the servers, resulting in cost that theoretically could become too much for an entity to sustain & lead to severely decreased profits.

8. Another problem concerns network speed, because that clogging of data may lead programs to move much slower, meaning employees can do less work during a workday.

More topics from ISM to read:

INFORMATION STORAGE & MANAGEMENT

EasyExamNotes.com covered following topics in these notes.
  1. ILM
  2. Storage infrastructure
  3. Data proliferation
  4. Evolution of various storage technologies
  5. Data categorization
  6. Integrated VS Modular Array
  7. Component architecture of intelligent disk subsystem
  8. Intelligent disk subsystems overview
  9. Mapping n operations
  10. Storage system architecture
  11. RAID
  12. Hot spare
  13. Striping and Mirroring
  14. SAN security
  15. JBOD
  16. Elements of DAS,NAS,CAS,SAS
  17. Limitations of DAS
  18. Cloud vocabulary
  19. NAS security
  20. Management of DAS,NAS,CAS,SAN
  21. FC Connectivity
  22. Memory virtualization
  23. Data center concepts & requirements
  24. Network virtualization
  25. Server
  26. Architectural Framework ISM
Python Programming ↓ 👆
Java Programming ↓ 👆
JAVA EasyExamNotes.com covered following topics in these notes.
JAVA Programs
Principles of Programming Languages ↓ 👆
Principles of Programming Languages
EasyExamNotes.com covered following topics in these notes.

Practicals:
Previous years solved papers:
A list of Video lectures References:
  1. Sebesta,”Concept of programming Language”, Pearson Edu 
  2. Louden, “Programming Languages: Principles & Practices” , Cengage Learning 
  3. Tucker, “Programming Languages: Principles and paradigms “, Tata McGraw –Hill. 
  4. E Horowitz, "Programming Languages", 2nd Edition, Addison Wesley

    Computer Organization and Architecture ↓ 👆

    Computer Organization and Architecture 

    EasyExamNotes.com covered following topics in these notes.

    1. Structure of desktop computers
    2. Logic gates
    3. Register organization
    4. Bus structure
    5. Addressing modes
    6. Register transfer language
    7. Direct mapping numericals
    8. Register in Assembly Language Programming
    9. Arrays in Assembly Language Programming

    References:

    1. William stalling ,“Computer Architecture and Organization” PHI
    2. Morris Mano , “Computer System Organization ”PHI

    Computer Network ↓ 👆
    Computer Network

    EasyExamNotes.com covered following topics in these notes.
    1. Data Link Layer
    2. Framing
    3. Byte count framing method
    4. Flag bytes with byte stuffing framing method
    5. Flag bits with bit stuffing framing method
    6. Physical layer coding violations framing method
    7. Error control in data link layer
    8. Stop and Wait scheme
    9. Sliding Window Protocol
    10. One bit sliding window protocol
    11. A protocol Using Go-Back-N
    12. Selective repeat protocol
    13. Application layer
    References:
    1. Andrew S. Tanenbaum, David J. Wetherall, “Computer Networks” Pearson Education.
    2. Douglas E Comer, “Internetworking with TCP/IP Principles, Protocols, And Architecture",Pearson Education
    3. KavehPahlavan, Prashant Krishnamurthy, “Networking Fundamentals”, Wiley Publication.
    4. Ying-Dar Lin, Ren-Hung Hwang, Fred Baker, “Computer Networks: An Open Source Approach”, McGraw Hill.