All articles by Indra Giri

Importing data into hadoop distributed file system (HDFS)

Hadoop is one of the applications for big data analysis, which is quite popular for its storage system that is Hadoop distributed file system (HDFS). It is a Java-based open source framework which stores big datasets in its distributed file system and processes them using MapReduce programming model. Since the last decade, the size of big datasets has increased exponentially, going up to exabytes. Furthermore, even in a small organisation, big datasets range from hundreds of gigabytes to hundreds of petabytes (1 petabyte = 1000 gigabytes). When the size of datasets increase, it becomes more difficult for traditional applications to analyse them. That is where frameworks like hadoop and its storage file system come into play (Taylor, 2010).

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Advantages of using R statistical software for predictive modelling

Predictive modelling is a data driven, induction based modelling that is continuously used by big sized companies to gain useful insights into trends and risks budding in the future. The modelling on the basis of data extraction, cleansing and analysis helps in predicting the value of a target variable (Fortuny, Martens, & Provost, 2013). Most of the analytical softwares developed are used to efficiently understand how things move for an organisation as per trends indicated by a relevant factor. One of the software that helps in prediction is R, summarization and estimation of the target variable with respect to different factors (Varian, 2014). The software holds a wide scope to develop predictive models.

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What is the importance of the order layout?

The handler conducts a background study to understand the essential requirements of the order before confirming it. They review several research papers to develop the layout. This helps them in giving a proper direction to the research.

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Major functions and components of Hadoop for big data

With increasing use of big data applications in various industries, Hadoop has gained popularity over the last decade in data analysis. It is an open-source framework which provides distributed file system for big data sets. This allow users to process and transform big data sets into useful information using MapReduce Programming Model of data processing (White, 2009).
Most part of hadoop framework is written in Java language while some code is written in C. It is based on  Java-based API. However programs in other programming languages such as Python can also use the its framework using an utility known as, Hadoop streaming. Read more »

Preferred big data software used by different organisations

Big data software and big data has been a buzzword in the computing era for over a decade now. It is a term used for large and complex data sets which is difficult to be processed and analysed by traditional data processing software. These large data sets can be structured or unstructured. The data comes from various sources such as:

  • social media,
  • scientific applications,
  • sensors, surveillance,
  • video and image archives.

These large data sets are analysed to find hidden patterns, relations between pieces of data, market trends or other information. But, in the end, it is not about the amount of data, it is about what the organization does with the data (Boyd & Crawford, 2011).

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Impact of demonetisation on the real estate sector of India

The real estate market has been undergoing changes due to recent policies of the government and other initiatives. The move of demonetisation which involved currency ban was initiated by the current Government. With the introduction of demonetisation, the real estate sector was shaken up due to high involvement of cash transactions. According to Singh (2016), 35-40% of the money which was exchanged in black for selling and buying of pre-owned houses in Delhi NCR region has been curbed due to demonetisation. This will lead to unsold inventory of residential and commercial premises, increasing the drag on other sectors such as financial, steel, etc.

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Format your article before you submit it to Knowledge Tank

Follow these points to format your article before you submit it to Knowledge Tank. Read more »

Interpreting multivariate analysis with more than one dependent variable

In continuation to my previous article, the results of multivariate analysis with more than one dependent variable has been discussed in this article. Read more »

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