Download e-book for iPad: Big data computing: a guide for business and technology by Vivek Kale

By Vivek Kale

ISBN-10: 1315371200

ISBN-13: 9781315371207

ISBN-10: 1498715338

ISBN-13: 9781498715331

This ebook unravels the secret of huge information computing and its energy to rework enterprise operations. The technique it makes use of might be necessary to any expert who needs to current a case for understanding large information computing ideas or to those that might be fascinated about a tremendous facts computing undertaking. It offers a framework that allows enterprise and technical managers to make optimum judgements beneficial for the winning migration to special facts computing environments and functions inside their businesses.

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Instead of implementing a given functionality in hardware, a set of instructions accomplishing the desired tasks are written and loaded into a processor. If changes in the functionality are required, the instructions can be modified instead of building a different physical device. Software eliminates many of the physical constraints of hardware; for example, it does not suffer from random fabrication defects and does not wear out. There are various approaches to achieving fault tolerance. Common to all these approaches is a certain amount of redundancy.

The development of databases helped to avoid the older systems’ 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 1 DBMS Benefits Deficiencies of predatabase information processing include encoded data, interdependence between programs and data files, data repetition and associated inconsistencies, ad hoc representation of relationships among data items, lack of coordination across programs using common data, restricted simultaneous access to data, and nonuniform error recovery methods. 1. Without databases, data and the programs are heavily dependent on each other.

The CAP theorem implies that consistency guarantees in large-scale distributed systems cannot be as strict as those in centralized systems. Specifically, it suggests that distributed systems may need to provide BASE guarantees instead of the ACID guarantees provided by traditional database systems. The CAP theorem states that no distributed system can provide more than two of the following three guarantees: consistency, availability, and partitioning tolerance. Here, consistency is defined as in databases; that is, if multiple operations are performed on the same object (which is actually stored in a distributed system), the results of the operations appear as if the operations were carried out in some definite order on a single system.

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

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