Examples of using Data systems in English and their translations into Hindi
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Conference on Data Systems Language.
The concept of outsourcing started withRoss Perot when he founded Electronic Data Systems in 1962.
Conference on Data Systems Languages.
The concept of outsourcing was first made popular byRoss Perot when we founded Electronic Data Systems(EDS) in 1962.
The Conference on Data Systems Language.
And your data systems need a reliable power source to create a climate model.
The CODASYL Committee Conference on Data Systems Languages.
Unfortunately, many big data systems- especially business systems- are changing all the time, a process that I will call drift.
COBOL is a high-level programminglanguage first developed by the CODASYL Committee(Conference on Data Systems Languages) in 1960.
In 1962, he founded Electronic Data Systems, a data processing service company.
You can save Excel workbooks in different file formats so thatthose who do not have Excel can open them in other programs or data systems.
In developing these new data systems, governments, businesses, and civil-society groups should promote four distinct purposes.
As the report emphasizes, low-income andlower-middle-income countries will need financial help to create these new data systems.
For example, Hitachi the Data Systems' expanded its family of computing platforms Unified Compute Platform, presenting the market eleven new models.
Businesses also suffer heavily after a natural calamity- notonly suffering physical damage but any natural disaster affects valuable data systems.
Nielsen Broadcast Data Systems said that“Hips Don't Lie” was the most-played pop song in a single week in American radio history.
British publishing giant Pearson has virtual monopoly over all aspectsof education from testing to online classes and student data systems.
According to Nielsen Broadcast Data Systems,“Hips Don't Lie” was the most-played pop song in a single week in American radio history.
With quick action before these two summit meetings,the world will be ready to launch the SDGs with the data systems that they need to succeed.
Unfortunately, many big data systems- especially business system that create and capture digital traces- are changing all the time, a process that I will call drift.
It's extraordinary planning for actualizing and introducing custom solutions,including business network administrations to connect SharePoint with your other data systems.
In fact we have in the stimulus bill-- it's interesting-- the House version actually hadmoney in it for these data systems, and it was taken out in the Senate because there are people who are threatened by these things.
To provide an introduction to the major structures present ina COBOL program. COBOL is a high-level programming language first developed by the CODASYL Committee(Conference on Data Systems Languages) in 1960.
The key, as I have highlighted before,is to invest in building innovative data systems that draw on new sources of real-time data for sustainable development.
Data systems on the ground floors and basement areas were completely submerged under water, and this has made important data inaccessible which may lead to many businesses suffering, even more, losses.
Strengthening our external borders,improving information exchange and making all our data systems interoperable and protecting our citizens online as well as on the ground- there is no time to waste.
In addition to studying unexpected events, always-on big data systems also enable researchers to produce real-time estimates, which can be important in settings where policy makers- in government or industry- want to respond based on situational awareness.
We should take an inventory of the global and local damages caused by electronic devices, platforms and data systems and frame issues about the digital economy and its environmental impact in broad societal terms.
In digital experiments where researchers partner with companies or governments todeliver treatments and use always-on data systems to measure outcomes, the match between the experiment and the theoretical constructs may be less tight.
Among the many contenders were IBM, VMX, Wang, Octel, ROLM, AT&T, Northern Telecom, Delphi Communications,Voice and Data Systems, Opcom, Commterm, Genesis, Brook Trout, Innovative Technology(ITI), Glenayre, BBL, AVT, AVST, Digital Sound, Centigram, Voice-mail International and Active Voice.