Case study
Industrial Overview

Re-emerging real estate sector of India is hungry for investments

Current State of Real Estate Sector in IndiaIn the recent time the recession in the real estate sector has become one of the most interested topic among the researchers. According to market experts the bubble in the real estate sector has burst. The prices of the real estate has decreased rapidly. Similarly the gap between the supply and demand has increased significantly in recent times (KPMG, 2014). Continue »

Small and medium scale enterprises (SMEs’) of the world

Small and medium scale enterprises (SMEs’) of the worldFrom large firms, the focus of business analysts has today shifted to Small and Medium scale Enterprises (SMEs’). The growing importance of SMEs’ has also been the result of increasing economic contribution. Statistics provide that SMEs’ account for more than 95% of enterprises across the world and they provide approximately 60% of the private sector employment globally (Ayyagari et al. 2011). Continue »

Recently on Knowledge Tank

Feasibility of bio-remediation as a solution for Lead pollution in soil

Soil is formed from the gradual breaking and weathering of rocks and covers of the landmass of earth as a thin layer. It is a complete ecosystem in itself and its maintenance is of utmost importance for the continuity of life processes of microbes, plants and animals. However, the quality of soil ecosystem is compromised due to increasing human activities resulting in release of pollutants. Furthermore, one such pollutant contributing to soil pollution is the discharge of high concentration of heavy metals (as shown in the figure below). Most noteworthy, Lead occurs most abundantly on Earth, constituting 0.002% of the total crust (1). This article discusses the need for Lead bioremediation in soil. Furthermore, the use of bio-remediation to mitigate the impact has also been discussed.

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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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Prevalence and diagnosis of insect allergy and its therapeutic considerations

Insect sting can cause allergic response which results in pain, itching, redness and swelling. Furthermore, people allergic to stinging venom can cause more serious reaction i.e. anaphylaxis (Bernstein et al., 2011; Department of Health, 2016). Insect Allergy is also known as Hymenoptera Venom Allergy (HVA). This  induces large local reaction (LLR) or systemic allergic responses which affect a local area of more than 10cm within 24 hours at the sting site. Hymenoptera belongs to sub-order Aculeate category and includes super-families of Apoidea, Vespidae, and Formicidae (Jutel et al 2013).

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Prevalence and diagnosis of occupational allergy and its therapeutic considerations

Occupational allergy is an allergic reaction caused when exposed to allergenic substance found at work place. This can be both indoor or outdoor. It is an important public health issue due to its high prevalence and socio-economic burden. It contributes significantly to the global burden of Asthma. Similarly among other diseases like; rhinitis, eczema, skin diseases and conjunctivitis can also increase due to this allergy.

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Strategies adopted by microfinance institutions in India to mitigate risks

Being in business for about more than 30 years, microfinance institutions still have to face risks. There is a need to build strategies to mitigate risks. Some of the major reasons include:

  • high dependency on rural population on agriculture which itself is dependent on monsoon,
  • lower income of people,
  • less employment opportunities in rural sector

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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. Continue »

Prevelance and diagnostics of Urticaria and its therapeutic considerations

Urticaria is a heterogeneous skin disorder, which is characterized by development of wheals on the skin followed by Angioedema. This can appear in any part of the body. Symptoms of the Urticaria are:

  • raised skin,
  • itchy bumps,
  • blanching (when pressed the centre of red hive turns white).

Furthermore, scratching, exercise, emotional stress may worsen it.

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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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