test plan

With respect to software development in the waterfall method, more emphasis is given on defining various needs of a software product before entering the next phase of designing, which includes test planning and application design. As those requirements are quite known in advance before even adopting the waterfall method, defining a test plan is very much possible demanding quite few modifications during the project lifecycle. Now if we analyze those needs in the context of agile development, they have been

cloud security

Despite the wide-spread use of the cloud to manage secure, complex workloads, many organizations remain in dilemma to put their trust on the cloud’s ability to deliver desired security. Many of them perceive the capacity of a system to deliver security based on their ability to control and touch a physical device. Being able to touch and control get high importance when it comes to cloud security; that is the reason why security professionals prefer physical devices that can provide

application delivery

Since its inception, IT has been challenged from time to time by global organizations to provide them with a competitive advantage. Secure data and application delivery to modern digital devices is a critical IT workflow to foster productivity. IT companies are focusing to be more agile, and in order to achieve desired agility, they are required to turn the present paradigm around app delivery upside down. The Evolution of IT In its primitive stage, IT departments across the globe used

Bigdata Analytics

BigData analytics examines huge amounts of data to uncover the hidden patterns, correlations and other important insights.With today’s advanced technology, it is possible to analyze your data and get resolutions almost immediately. Analyzing BigData allows analysts, business users, and researchers to make better and absolute decisions using data that was previously inaccessible or unusable. Using advanced analytic techniques such as machine learning, text analytics, predictive analytics, statistics data mining, and language processing. Businesses can analyze previously untapped data sources independent

Big Data testing

Big data is a widely used medium in software testing. Since its dawn it has been challenged by many global organizations to provide a competitive advantage. The IT companies now are moving very quickly in the application testing and hence to catch the rate the proper testing and preparing user friendly applications is required. Today Bigdata is described as velocity, variety and volume namely the three Vs. It describes as that the large amount of data in various structure should

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