Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Cloud Computing Lingo
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Cloud Computing Lingo
Business IntelligenceData MiningData WarehousingPredictive Analytics

Cloud Computing Lingo

TheodoreOmtzigt
TheodoreOmtzigt
6 Min Read
SHARE

To understand all the marketing information that bear the label “cloud computing” it is helpful to have a quick glossary of terms.

Contents
  • Grid Computing
  • Grid Computing
  • Haas, or Hosting as a Service
  • SaaS, or Software as a Service
  • PaaS, or Platform as a Service
  • Web Services
  • Web 2.0

Grid Computing

Grid Computing is a collaboration model. Locally managed resources are virtualized and aggregated in a larger, more capable resource. Grid computing is concerned with coordinating problem solving in virtual organizations and typically is associated with large and complex “Grand Challenge” problems.

In the…


To understand all the marketing information that bear the label “cloud computing” it is helpful to have a quick glossary of terms.

More Read

Dashboards should do more than raise your blood pressure
Review Of The BI Survey 8
7 Important Types of Big Data
BI Shouldn’t Be Part-time Pursuit for Analysts
IB Olympiad System Outline

Grid Computing

Grid Computing is a collaboration model. Locally managed resources are virtualized and aggregated in a larger, more capable resource. Grid computing is concerned with coordinating problem solving in virtual organizations and typically is associated with large and complex “Grand Challenge” problems.

In the scientific community, multi-institutional collaboration is required to have any hope of solving fundamental questions as they arise in high-energy physics, fusion or climate research. It is in this community that the world wide web originated to fulfill the need for seamless document access among geographically dispersed team members, and it is also the birthplace of the grid. In 1990 the first HTML communication took place at CERN, and in 1994 the first grid was put together around the Supercomputing conference as a mechanism for all participants to share data and models. It was dubbed I-WAY at that time but it was the starting point of research to try to find solutions for security, resource management, job control, and data caching that are central to grid computing.

Examples are: Terra GRID, Euro GRID

Haas, or Hosting as a Service

HaaS is a business service model. There are a lot of activities in modern business that are not core operational differentiators. These essential but peripheral services are better outsourced to specialists who can leverage economies of scale. Payroll management, shipping, and web presence are three examples of services that tend to be outsourced for most modern businesss, particularly small and medium sized businesses (SMBs).

Examples are: Startlogic, Hostmonster, Rackspace

SaaS, or Software as a Service

SaaS is a software deployment model. Application functionality is provided to the user through a web interface and the SaaS provider manages hardware and software operation and maintenance.

Examples: Salesforce.com, Webex, Netsuite

SaaS is generally associated with business software and marketed as a service to lower the cost of internally managed software. SaaS allows customers to lower the initial cost of software licenses and computer hardware to run on.

  • Web Site Hosting and Web Application Hosting Services are probably the most ubiquitous instances of the SaaS model
  • Customer Resource Management, or CRM, has many different instances, for example Salesforce.com, Siebel, or Coghead
  • Completely integrated Enterprise Resource Management systems are provided by SAP, Oracle, Netsuite, Epicor, or Infor

Storage-as-a-Service and Computing-as-a-Service are slightly different in nature compared to SaaS since the latter provides application functionality whereas in the former two, access to a resource is sold or rented.

Commercially, SaaS has carved out many different useful services. Unfortunately, this has lead to a fragmentation of the market with the associated interoperability and economic lock-in problems. When selecting a SaaS provider the overriding question should be if you can move your data to other providers or bring it in house. SaaS becomes less interesting at a larger scale or if you want to extract business intelligence from your data. Plan for success but manage for failure. If the SaaS provider does not have a productive mechanism to get all the data out of the service, think twice before signing a contract.

PaaS, or Platform as a Service

PaaS is a software life-cycle model. Applications are developed, tested, deployed, hosted, and maintained on the same integrated platform.

Examples: Bungee Lab Connect, Comrange AppProducer

Web Services

Web Services represent anything that serves data, information, or access through a web browser. This is such a nebulous group of functionality that this term is more confusing then it is helpful. For example, Amazon’s EC-2 is billed as Amazon Web Services, but really AWS rents you an appliance on which you can install your own machine image. That appliance can now do anything, from web site serving, to application serving, to data mining, to web indexing, to running your OpenOffice spreadsheet model. Google web services aggregate anything from email to calendaring to picture storage and of course web indexing, but it is distinctly different from Amazon’s web services.

Web 2.0

Web 2.0 refers to the proposed second generation of Internet-based services where data services such as social networks, blogs, and wiki’s are connected and add value to each other. Collaboration is central to this model and users generate information and police themselves.
<–URL–>

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

R in a Corporate Environment

1 Min Read

Governance of the People? Of the Data? For the …

4 Min Read

Connectivity Disrupting Traditional Models: Online Peer to Peer Commerce

5 Min Read

How Predictive Analytics Will Affect Big Data’s Future

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?