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Assignment范文-元數據的有效性

發布時間:2022-03-15 16:34:13 閱讀:351

案例簡介

  • 作者:博遠教育
  • 導讀:元數據是數據倉庫中最重要的功能之一。在本文中,我們將解釋數據倉庫中的元數據如何有效,以及它如何幫助改進數據倉庫的性能度量,使其高效。
  • 字數:2562 字
  • 預計閱讀時間:6分鐘

案例詳情

本文是計算機專業的assignment代寫范文,題目是“How Effective is Metadata?(元數據的有效性如何?)”,在一個高度發展的技術世界里,大型組織要處理大量的信息。隨著歷史信息的快速增長,歷史信息的檢索已成為決策者的一項強制性任務。這就是數據倉庫發揮作用的地方。數據倉庫是一個集成數據庫的集合,旨在支持管理決策和問題解決功能。

assignment代寫范文

Abstract 摘要

In a highly growing technological world, large organizations deal with huge amount of information. With this rapid growth the retrieval of historical information has become a compulsory task for the decision makers. Here is where data warehouse comes into play. Data warehouse is a collection of integrated databases designed to support managerial decision making and problem solving functions.

Metadata is one of the most important feature available in data warehouse. In this paper we are going to explain how effective is metadata in data warehouse and how it helps in improvising the performance measures of the data warehouse making it highly efficient.

元數據是數據倉庫中最重要的功能之一。在本文中,我們將解釋數據倉庫中的元數據如何有效,以及它如何幫助改進數據倉庫的性能度量,使其高效。

1.INTRODUCTION引言

Retrieving the required information from data warehouse without metadata will be a daunting task. metadata is a small piece of data which tells the decision making analysts what kind of data is it and where it is stored. Thus making the task easy and time saving. Metadata has a significant role in data warehouse. There are of two parts front room and back room metadata. The back room metadata helps in extraction, cleaning and loading. the front room metadata is descriptive type helping in smooth functioning.

在不使用元數據的情況下,從數據倉庫中檢索所需的信息將是一項令人生畏的任務。元數據是一小塊數據,它告訴決策分析師它是什么類型的數據以及它存儲在哪里。從而使任務容易和節省時間。元數據在數據倉庫中扮演著重要的角色。其中包括前廳元數據和后廳元數據兩部分。后屋元數據有助于提取、清潔和裝載。前廳元數據是描述性類型,有助于平穩運行。

While creating the data warehouse for large organizations one or more meta data has to be stored, for this meta model is been created. Meta model is a conceptual model for metadata database where meta data of a warehouse are stored. It renders detailed description of metadata units and their relationship existing between them. The metadata type and their abstraction level has a direct impact on building a meta model. Meta data management system mostly follows the federal structure (i.e.) combining the advantages of both centralized and distributed structures enabling a variety of meta database for storage. Meta model should be highly scalable so that when the application requirements change the users can customize the application specific component of metadata.

2.EFFECTS OF METADATA ON DATA WAREHOUSE元數據對數據倉庫的影響

Metadata and its management play a very important role in data warehouse system. When a user needs to access a data in data warehouse, he first looks into the metadata for where it is located in that cluster of information. What if the metadata is not present, the user has to skim through the whole information to find out his required information which is practically an impossible task. Thus metadata showing up to be highly efficient in data warehouse. In context with data warehouse, metadata is majorly classified as business, technical and operational meta data.

元數據及其管理在數據倉庫系統中起著非常重要的作用。當用戶需要訪問數據倉庫中的數據時,他首先查看元數據,看看它在信息集群中的位置。如果元數據不存在,用戶必須瀏覽整個信息以找到他所需的信息,這實際上是一項不可能完成的任務。因此,元數據在數據倉庫中表現出了很高的效率。在數據倉庫中,元數據主要分為業務元數據、技術元數據和運營元數據。

Business metadata explains about business definition, policies and others. Technical metadata has all technical information such as db. system names, tables, columns names, data types and values. Whereas operational metadata shows the currency of data. Meta data also ensures code reusability, accuracy, consistency and integrity of the system. It highly supports the development, maintenance and upgradation of Data warehouse.

LIMITATIONS:

When different layers of metadata fail to communicate and update successfully, the users will land up in wrong search of data.

SOLUTION:

A proper maintenance should be done on a timely basis and a notification mechanism should be initiated whenever such updating does not take place to ensure that metadata has updated and works fine. A good quality data warehouse should ensure good performance measures such as quality control, confidentiality of data, integrity, availability etc. Here we are going to see how metadata is playing a vital role in improvising the performance measures of data warehouse.

應該及時進行適當的維護,并且在沒有發生此類更新時,應該啟動通知機制,以確保元數據已經更新并正常工作。一個高質量的數據倉庫應該確保良好的性能指標,如質量控制、數據保密性、完整性、可用性等。在這里,我們將看到元數據如何在改進數據倉庫的性能度量方面發揮重要作用。

3.QUALITY CONTROL BY METADATA元數據質量控制

Implementation of data warehouse is a most efficient solution for decision makers. In some cases, data warehouse fails to meet the requirements due to lack of data quality. The major area where the data quality fails is while integrating the input sources. In a metadata quality control system, initially the demands for quality are gathered from the user and then convert these requirements into specifications. These specifications are added to metadata.

數據倉庫的實現是決策者最有效的解決方案。在某些情況下,數據倉庫由于缺乏數據質量而不能滿足需求。數據質量出現問題的主要方面是在集成輸入源時。在元數據質量控制系統中,首先從用戶那里收集質量需求,然后將這些需求轉換成規范。這些規范被添加到元數據中。

Along with this metadata, total data warehouse architecture is combined so the data is examined along the dataflow. This security mechanism is implemented in metadata since the metadata repository is responsible for each and every characteristic of data present in the warehouse. Hence applying quality demands in metadata helps to rectify the quality issues in data warehouse.

ADVANTAGES:

The quality demands of the user are satisfied, efficiency is improved, performance measure is boosted.

LIMITATION:

Firstly, though the quality control measure is applied in the initial stage, the data after stored in the warehouse do not guarantee the same quality. secondly, there is a slight modification in the warehouse architecture in accordance to the quality control model which may affect the performance of the warehouse.

SOLUTION:

A proper quality check should be carried out even after the data is stored in warehouse by involving quality maintenances in warehouse and also before involving modification in warehouse architecture the performance measure is to be checked so that it does not affect the efficiency.

4.SECURITY MEASURES BY METADATA元數據安全措施

A high quality data warehouse should have highly confidential storage system. Security is more important in this competitive world where hacking of information no more a big deal. Data warehouse is an inaccessible system providing huge of amount of data easily available for users. Security aspects are considered before building the data warehouse and inserted in the metadata in the architecture.so the user will be restricted to only a particular area where the access is provided, the rest data cannot be accessed unless proper authentication is provided. Inserting security measures after developing data warehouse will not be that effective and cost efficient. We apply security measure in metadata since applying it to the other parts will affect the performance of data warehouse and also it won’t end up in an efficient way.

一個高質量的數據倉庫應該有高度機密的存儲系統。在這個競爭激烈的世界里,安全變得更加重要,黑客攻擊信息已不再是一件大事。數據倉庫是一個不可訪問的系統,為用戶提供了大量的數據。在構建數據倉庫并將其插入體系結構中的元數據之前,要考慮安全性方面的問題。因此,用戶將被限制在提供訪問的特定區域,除非提供適當的身份驗證,否則無法訪問其他數據。在數據倉庫開發完成后,在數據倉庫中插入安全措施的效果和成本效率并不高。我們將安全措施應用于元數據,因為將其應用于其他部分會影響數據倉庫的性能,也不會以一種有效的方式結束。

ADVANTAGES:

Confidentiality of the data is maintained, illegal authentication is prohibited, increases the performance.

LIMITATION:

This security model is advantageous for those kind of data whose content is described by metadata and also it restricts the access to users, so the users end up making decision with the available decision thus indirectly affecting the performance of data warehouse.

SOLUTION:

Rather than giving authentication to a area, security system should be designed in such a way that only highly trusted users are let in the warehouse and are allowed to migrate throughout the system and make the better decision by considering all the available data.

5.CRITICAL REASONING批判性推理

For large organizations, metadata management is of great importance and great potential. Metadata not only provide information about the data in warehouse but also, helps in boosting various performance measures by which the user requirements are satisfied. By improving the quality of the data, consistency and efficiency is maintained in warehouse.

對于大型組織來說,元數據管理非常重要,也有很大的潛力。元數據不僅提供關于數據倉庫中的數據的信息,而且還有助于提高滿足用戶需求的各種性能度量。通過提高數據質量,保證了倉庫數據的一致性和效率。

By providing a secured data to the users as per their demands increases the performance of the warehouse. Other security measures and quality control measures involves more complexity than that of one involving metadata. So, using metadata would be a simple and prudent choice.

In this goal, driven business environment, it is important to serve the demands of the user rather than giving them a comprehensive result. Metadata is a small part in data warehouse architecture but in turn provides huge effects in functioning. Meta data gives meaning to data and adds clarity to the users. hereby we summarize the effects of metadata in data warehouse and how it helps in improving the performance measures of warehouse. This performance improvement techniques using metadata is not widely followed because of lack of understanding of importance of metadata and, the metadata management has higher degree of complexity. So, by this we get to know that metadata is essential and highly effective in data warehousing.

在這個目標驅動的業務環境中,重要的是為用戶的需求服務,而不是給他們一個全面的結果。元數據在數據倉庫體系結構中只是一個很小的部分,但反過來卻提供了巨大的功能效果。元數據賦予數據意義,并為用戶增加清晰度。在此,我們總結了元數據在數據倉庫中的作用,以及它如何幫助提高數據倉庫的性能指標。這種使用元數據的性能改進技術并沒有得到廣泛的應用,因為缺乏對元數據重要性的理解,而且元數據管理的復雜性更高。因此,通過這一點,我們了解到元數據在數據倉庫中是必不可少的和非常有效的。

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