phanvergent - Tumblr blog

[phanvergent]

Beginners guide to Data Virtualization

In the past few years, data virtualization solutions is gaining high popularity among different business enterprises as business organizations are opting to consolidate the infrastructure to seek the ROI from various hardware expenditures. As you leverage data virtualization, business organizations decrease IT costs related to different complicated computing environments, like the cooling and power and additional support costs.

Besides, it helps improve storage, efficiency, thereby becoming very agile. Business organizations that use data virtualization are known to realize the Return On Investment in different ways. According to IDC, the virtualized environment helps in saving costs of about 50 per cent in the hardware, along with staffing and maintenance. The consolidation of several applications helps in reducing the hardware costs of the dedicated server. It needs lesser facility space, compared to the dedicated servers. Also, it reduces the costs to power.

Faster server provisioning

Business organizations, which feature the virtualized environment, are capable of provisioning for different hardware and applications. It is known to streamline other routine business processes faster, compared to the typical setup. It helps strengthen the business organizations, thereby ensuring that it is responsive to different environmental changes.

Faster disaster recovery and lesser downtime

A crucial benefit of data virtualization is its capabilities of backing critical data effectively and faster. During the natural disaster, the malware attack and power attack data virtualization successfully reduced the business organization's downtime. It offers a response to the downtime faster. Besides this, it provides protection against different interruptions of the business. It is because a simple server environment enhances performance. Apart from this, business organizations having a virtual backup server are responsible for replicating business data.

A great technology

Data virtualization solutions provide a suitable choice to the business enterprises to present a real-time integrated data view to consumers from different technologies and locations. It is transformed into the necessary format. It is not another business desire. It is in fact the past technical solutions that are excessively slow to make the consolidation and transformation usable in real-time. Data warehouses are generated primarily for the starting of the integrated data view mostly. However, it is not feasible to do the same in real-time and the response time, which is beneficial for different business analysts.

An exciting aspect is that data virtualization transforms and integrates the information which is inclusive of different traditional and unstructured sources. Data virtualization contributes to being the combination of different technologies and techniques, which are a prerequisite in data integration. Data virtualization services are not intended to replace different data warehouses.

In fact, it is built above them to integrate the historical data within the data warehouse with the latest data in real-time from other kinds of data structures, which are unstructured, structured, remote, local, and transient. Next to this, it is presented to them for instantaneous use to different users and application, where it is required in the format.

The data integration server offers a connection to different source data technologies and stores, after which the data is transformed and integrated into the common view. Next to this, the data is provided in the proper format to the tool, application and person.

Data virtualization offers integrated business intelligence primarily. It offers a means to extend the data warehouse concept into the data, which is not under the physical data warehouse immediately. Data warehouses are reaching limited in different business enterprises in terms of varying data additions to the platform. If you want to confer the functionality, virtualization of the remaining part of the data is essential as needed by the business organization.

Data virtualizations confer value to the seams of the business enterprise. It serves as the stand-alone tool and extensions to different technology platforms, such as ETL tools, business intelligence tools, and enterprise service buses.

Aspects of data virtualization

It is possible to deploy data virtualization in different application areas, such as master management of data, service-oriented architectures, business intelligence, internet-based applications. Data virtualization is known to be software product capabilities which offer support to the unified access to different heterogeneous data sources, within a form, which is constant with different, unified data models. The data virtualization service needs that every service unit confers the master data mapping to different master enterprise data model elements. It is inclusive of the extra data, which is of immense interest to the requestor.

Data virtualization is inclusive of different data integration techniques that help consolidate data from other technologies and sources in real-time. Data warehousing refers to data management practice. Data is copied from various operational systems into the specific persisting store of data in a consistent format that should be used for the reporting and analysis.

Such practice is useful to execute the analysis across the historical data snap posts. As the data, necessary for analysis involved the current data only, the reporting and analysis architecture is inclusive of persistent data store. But, the latest data virtualization technologies effectively make the data integration feasible in real-time, primarily when used in combination with the data warehousing.

Deployment of data virtualization in the business intelligence system involves the use of different data integration techniques for the consolidation of data in real-time from other technologies and sources. Data warehouse refers to data management practice in which data gets copied from different operational systems into a specific data store in a constant format that is useful for reporting and analysis. Such practice is beneficial to execute the analysis across historical data snapshots, which is challenging to achieve, by using active operational data.

Summary

Thanks to new data virtualization technologies that make the integration of data feasible in real-time, it is primarily used along with data warehousing. Emerging technologies are used in in-memory data stores, providing quicker and easier data integration solutions.