Wed. Jul 15th, 2020


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Traditional Data Warehouse versus Data Warehouse Appliance

2 min read
Traditional Data Warehouse versus Data Warehouse Appliance

Data handling is an important factor in the decision making process in any organization. What is a data warehouse appliance? It is an association of software and hardware specifically designed for analytical processing. This appliance type usually allows the buyers to deploy an extremely high performance data warehouse easily. Traditionally, data warehouse implementation, primarily, (DBA) consumes a huge amount of time tuning as well as putting structures around the data in order to ensure that the database performs well where a large set of end users is involved. Implementation of a data warehouse appliance on the hand leaves the responsibility of simplifying the physical design layer of the database to the vendors. The vendors are also mandated to ensuring that the software is tuned in line with the hardware. This means you or your employees are unburdened from the traditional roles inherent in the conventional databases, and the application is set up in an integrated development environment where both hardware and software perform in harmony.

Data warehousing appliance have many advantages over the conventional database warehouse. For instance, while the conventional data warehouse requires scaling out, the administrator is usually needed to transfer all the data to a bigger and more robust server. On the other hand, when a data warehouse needs scaling out, the appliance simply needs to be expanded just by buying an additional plug and play element.

Another huge difference between the traditional data warehouse and data warehousing appliance is the fact that the latter usually comes with its own operating system, database management system as well as storage. Additionally, it utilizes parallel processing, commonly denoted as MPP. Data warehouse appliances normally distribute data across various integrated disk storage that allows independent processors to parallel query data with little contention as well as minimal redundant components failures without hurting the entire platform. Data warehouse appliance utilizes Java database connectivity, open database connectivity as well as OLE DB interface to seamlessly integrate with other tools, business intelligence, as well as business analytics.

At present, data warehouse appliance vendors appear to be focused on increasing functionality for them to be able to compete with mega vendors. However, it is expected that all the vendors will be affected by this towards superior performance, inexpensive and scalable data warehouse implementations which use ordinary hardware, as well as open source software.

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