BDD Ch 5 & 6 - Exam III

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Author:
mjweston
ID:
242263
Filename:
BDD Ch 5 & 6 - Exam III
Updated:
2013-10-23 13:51:45
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Big Data
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Big Data
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  1. virtualization
    the process of using computer resources to imitate other resources - has capability to increase IT resource utilization, efficiency, and scalability
  2. physical resources are used more efficiently
    more control over physical resources
    easier automation & standardization
    advantages of a virtual environment
  3. partitioning
    isolation
    encapsulation
    three major characteristics that support scalability and operating efficiency for big data
  4. partitioning
    available resources are divided (separated) according to need in the virtual environment - eliminating physical resources being under or over utilized
  5. isolation
    each virtual machine is separated from its host physical system and other virtualized machines - this means that issues affecting one machine will not affect others, keeping data more secure and improving overall performance
  6. encapsulation
    virtual machines can be designated for specific tasks - a virtual machine can be represented (and even stored) as a single file so it can be identified easily based on the services it provides - protects applications so they don't interfere with each other
  7. hypervisor
    a virtual machine monitor - the technology that manages traffic between the virtual machines (VMs) and the physical machine - ensures that resource sharing takes place in an orderly way
  8. - physical machine is partitioned into multiple virtual servers
    - virtual machine runs its own applications & OS based on the physical server
    - software layer (hypervisor) manages interactions between the virtual & physical machines
    server virtualization points
  9. - applications removed from the pysical infrastructure to accommodate fluctuations in user demands
    - IT resources more easily distributed throughout and outside the org
    - enhanses resource allocation
    application virtualization points
  10. server virtualization
    application virtualization
    network virtualization
    processor & memory virtualization
    data & storage virtualization
    elements of the IT environment that can be virtualized
  11. - too many virtual images are created leading to a drop in server & memory performance
    - additional security vulnerabilities
    - overabundance of virtual images increases storage costs & reduces savings
    - increased security risks (malicious or uninformed mgmt of virtual images)
    - compliance requirements may be compromised if you are not able to accurately monitor virtual infrastructure logs
    virtualization challenges
  12. type 1 - run directly on the hardware platform
    type 2 - run on host OS
    two types of hypervisors
  13. abstraction
    the separation of IT resources and services from the underlying physical environment - so the developer or analyst does not need to be concerned with where the data elements are actually located
  14. cloud computing
    a method of providing a set of shared computig resources that include applications, computing, storage, networking, development, and deployment platforms, as well as business processes - is considered to be a service
  15. public cloud - ex: email
    a set of hardware, networking, storage, services, applications, and interfaces owned and operated by a third party for use by other companies and individuals
  16. security requirements
    privacy
    latency
    issues with the public cloud
  17. private cloud
    a set of hardware, networking, storage, services, applications, and interfaces owned and operated by an organization for the use of its employees, partners, and customers - can be created & managed by a third party for the exclusive use of one enterprise - highly controlled envorinment & not open for public consumption
  18. hybrid cloud
    a combination of a private cloud combined with the use of public cloud services with one or several touch points between the environments
  19. infrastructure as a service (IaaS)
    platform as a service (PaaS)
    software as a service (SaaS)
    data as a service (DaaS)
    four popular cloud delivery models
  20. ease of use
    cost efficiencies
    highly scalable environment
    remove the maintenance from the org
    benefits of the public cloud
  21. Infrastructure as a Service (IaaS) - (can be private or public)
    cloud computing service in which the delivery of computing services including hardware, networking, storage, and data center space are based on a rental model - charged only for service used - ex: cell phone service
  22. Platform as a Service (PaaS)
    a mechanism for combining IaaS with an abstracted set of middleware services, software development, and deployment tools that allow the end user to develop their environment as needed
  23. Software as a Service (SaaS)
    a business application created and hosted by a provider in a multitenant model - allows end-user to use software that is transparent, but is accessable at any time, often from anywhere for a cost
  24. Data as a Service (DaaS)
    a platform-independent service that allows data to be stored and accessed at any time from anywhere - often has speed efficiencies over a local data center - ex: Dropbox
  25. data integrity
    comliance (particular to your company)
    costs
    data transport
    performance
    data access
    location
    challenges of cloud computing
  26. multitenancy
    refers to the situation where a single instance of an application runs in a cloud environment, but serves multiple client organizations, keeping all their data separate
  27. scalability
    elasticity
    resource pooling
    self-service
    often low up-front costs
    pay as you go
    fault tolerance (uninterrupted services despite the failure of one or more of the system's components)
    characteristics of the cloud which work well with big data

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