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Green database model for stock market: a case study of Indian stock market

机译:股市绿色数据库模型:印度股市案例研究

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Mammoth data is being created in stock market round the globe. In the era of global village, stack holders and participators in stock market is developing its own repositories. Due to this phenomenon, same data is being deposited at different places and repeated again and again. Repetition of data requires resources and it leads to the wastage of cost, energy, power, space etc. In market is relatively less mature than develop market and due it, large unplanned and unused data had been stored in the database of intermediaries and other stack holders. This paper is the continuation of our previous work of green database model for stock market. We already discussed the database based on integer value [8] and referential value [9] but green database model is till need some improvements. This paper discusses the database model for stock market as a case study of Indian stock market and proposes a green database model. It also unearth the questions arises after integer value and referential value databases. It also tries to calculate its green effect.
机译:庞大的数据正在全球股票市场创建。在全球村的时代,股票市场的堆栈持有人和参与者正在开发自己的储存库。由于这种现象,在不同的地方沉积了相同的数据并一次又一次地重复。数据重复需要资源,它导致市场上的浪费,市场中的能源,电力,空间等相比,成熟的成熟程度相对不那么成熟,而且由于它,大量的无计划和未使用的数据已经存储在中间人和其他堆栈数据库中持有人。本文是继续我们之前的股市绿色数据库模型的工作。我们已经基于整数值[8]和引用值[9]讨论了数据库,但绿色数据库模型才需要一些改进。本文讨论了股市数据库模型作为印度股市的案例研究,提出了一种绿色数据库模型。它还无法在整数值和参照值数据库之后出现问题。它还试图计算其绿色效果。

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