New PDF release: Big data computing: a guide for business and technology

By Vivek Kale

ISBN-10: 1315371200

ISBN-13: 9781315371207

ISBN-10: 1498715338

ISBN-13: 9781498715331

This publication unravels the secret of huge info computing and its strength to remodel enterprise operations. The technique it makes use of can be worthy to any specialist who needs to current a case for understanding monstrous facts computing suggestions or to those that will be considering a huge info computing undertaking. It presents a framework that permits company and technical managers to make optimum judgements invaluable for the winning migration to important info computing environments and functions inside of their firms.

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Extra resources for Big data computing: a guide for business and technology managers

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This result means that not only is it difficult to build individual components that operate faster, it may not even be desirable to do so. It may be cheaper to use more, slower components. For example, if we have an area n2 A of silicon to use in a computer, we can either build n2 components, each of size A and able to perform an operation in time t, or build a single component able to perform the same operation in time t/n. The multicomponent system is potentially n times faster. , are Computing Beyond the Moore’s Law Barrier While Being More Tolerant of Faults and Failures 7 controlled by a single instruction stream).

TCP builds reliable connections on top of IP, accepting that not all packets will complete their journeys and resending them as necessary. 7 Brewer’s CAP Theorem Techniques for achieving Atomicity, Consistency, Isolation, and Durability (ACID) properties in a database system are explained in the note below. However, applying these techniques in large-scale scenarios such as data services in the cloud leads to scalability problems: the amount of data to be stored and processed and the transaction and query load to be managed are usually too large to run the database services on a single machine.

In 1965, the amount of transistors that fitted on an integrated circuit could be counted in tens. In 1971, Intel introduced the 4004 microprocessor with 2,300 transistors. In 1978, when Intel introduced the 8086 microprocessor, the IBM PC was effectively born (the first IBM PC used the 8088 chip)—this chip had 29,000 transistors. 7 billion transistors. In the next couple of years, we will have chips with over 10 billion transistors. 2). In real terms, this means that a mainframe computer of the 1970s that cost over $1 million had less computing power than the iPhone has today.

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Big data computing: a guide for business and technology managers by Vivek Kale


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