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Chapter 14: Database Technology

Chapter 14: Database Technology

pp. 239-256

Authors

, Hooghly Engineering and Technology College, Hooghly
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Summary

The changing characteristics of data and need for new data processing models as well as file systems in high-performance computing environment have been discussed in previous chapters. The large data-sets produce not only structured data but un-structured data too. Storage requirement for unstructured data is entirely different from that of structured data. There is a need to maintain quicker data storage, search and retrieval as these are basic requirements in high-performance computing.

Cloud computing not only provides support for traditional DBMSs, modern data processing requirements are also catered to as well. This chapter focuses on the characteristics of this new type of databases and discusses how un-structured data are stored in those databases for efficient processing. Apart from these, the chapter also discusses about different forms of database solutions available on the high-performance cloud computing environment.

Data storage and database on the cloud is intimately tied with one another and that provides the scope for suitable solutions to optimize the database performance. This has changed the way how database is managed. Many cloud computing vendors have developed new methods of storing data objects which are different from the traditional methods of storing data.

Data storage and database on cloud like high-performance systems are often intimately tied with one another for efficient processing of large volume unstructured data-sets.

DATABASE IN CLOUD

Consumers can avail database facility in cloud in two forms. First one is the general database solution that is implemented through installation of some database solution on IaaS (virtual machine delivered as IaaS). The other one is delivered by service providers as database-as-a-service where the vendor fully manages the backend administration jobs like installation, security management and resource assignment tasks.

In the first approach, the users can deploy database applications on cloud virtual machines like any other applications software. Apart from this, the ready-made machine images supplied by the vendors are also available with per-installed and pre-configured databases. For example, Amazon provides ready-made EC2 machine image with pre-installed Oracle Database.

In the Database-as-a-Service (DBaaS) model, the operational burden of provisioning, configuration, backup facilities are managed by the service operators.

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