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Legal Files Management System Using Big Data

机译:使用大数据的法律文件管理系统

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Have you ever Wondered how data can be used as a weapon as well as useful information?. Welcome to the year of 2018 where large datasets can be manipulated using the hadoop cluster interface, so that the users can store, read, transfer any type of data including large datasets. Imagine a lawyer who must be having huge amounts of case files. It isnot humanly impossible to remember the dates, file numbers, The status at a single time of a case which was closed several years ago here we use the concept of big data where you can retrieve such information within seconds. The technical advantages of organizing such data can be helpful not only in certain high profile cases where it is necessary that a particular order or organization is present at the most basic level so as to get information that maybe the turning point that is needed to win a particular case but also assist as a alibi for any vocal statements given during a particular session, these data entered in a registry as mentioned above can be lost over time so the storage of these important data can be done by using a Hadoop cluster which stores large datasets and can be referred at will i.e Lawyers as well as lawmakers will be able to successfully get facts in the argument without any Data Unavailability. The Apche ambari is a Hadoop interface used to manipulate and analyze distributed data across number of clusters. The Apache spark can be used to reduce, separate and filter data according to the users requirements.
机译:您是否曾经想过如何将数据用作武器以及有用的信息?欢迎来到2018年,在这一年可以使用hadoop集群界面来操纵大型数据集,以便用户可以存储,读取,传输任何类型的数据,包括大型数据集。想象一下,一个律师必须拥有大量案件档案。记住日期,文件编号,几年前关闭的案件的一次状态在人类上并非不可能,这里我们使用大数据的概念,您可以在几秒钟内检索到此类信息。组织此类数据的技术优势不仅在某些特定情况下很有用,在某些情况下,有必要在最基本的层次上提出特定的命令或组织,以获取信息,也许这可能是赢得竞争的转折点。特定情况下,但也可以作为特定会话期间发出的任何声音陈述的借口,如上所述,在注册表中输入的这些数据可能会随着时间的流逝而丢失,因此可以通过使用存储大量数据的Hadoop集群来完成这些重要数据的存储可以随意引用,即律师和立法者将能够成功获取论点中的事实,而不会出现任何数据不可用的情况。 Apche ambari是一个Hadoop界面,用于处理和分析多个集群中的分布式数据。可根据用户需求使用Apache Spark减少,分离和过滤数据。

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