Technologies for data virtualisation-high-level requirements 數(shù)據(jù)虛擬化技術(shù)高級需求
How to choose technologies for the data virtualisation layer 又應(yīng)該如何選擇支持?jǐn)?shù)據(jù)虛擬層的技術(shù)呢?
Data virtualisation hides the location and form of the data from the user 數(shù)據(jù)的虛擬化對用戶屏蔽了數(shù)據(jù)的位置和格式。
You can measure the success of your data virtualisation scheme by how effectively you maintain transparency to the user 您可以通過維護數(shù)據(jù)對用戶的透明性的高效程度來評價數(shù)據(jù)虛擬化機制的成功程度。
“ virtualisation more broadly refers to any remapping of physical resources to logical ones anywhere on the stack 虛擬化有其更廣泛的含義,它是指在整個物理資源系統(tǒng)中,將任何一處物理資源給予邏輯定位。
The data virtualisation layer must be able to support the variety of data sources frequently found within any organization, as illustrated in figure 1 數(shù)據(jù)虛擬層必須能夠支持在任何組織中找到的各種數(shù)據(jù)源,如圖1所示。
Just as there is more complexity to the compute layer of the architecture in figure 1, so the data virtualisation layer is more complex than it might appear 正如此處的復(fù)雜性比圖1中體系結(jié)構(gòu)的計算層的復(fù)雜性更高一樣,此處的數(shù)據(jù)虛擬層也比圖1中的更為復(fù)雜。
Any data virtualisation solution you choose needs to be able to support heterogeneous data sources, whether in terms of the platforms, such as sourcing or accessing the data, or in terms of the technologies and techniques used to store the data 您選擇的任何數(shù)據(jù)虛擬化解決方案都需要能夠支持異種數(shù)據(jù)源,不管是從平臺的角度來說(例如引用數(shù)據(jù)或訪問數(shù)據(jù)),還是從用來存儲數(shù)據(jù)的技術(shù)來說都是如此。