Annotated bibliography

Provide an annotated bibliography listing at least 3 different authoritative, in-text references. The research articles should address three different emerging trends in data analytics and business intelligence on how the trend is being applied in organizations currently. To be clear, each entry to the annotated bibliography listing must be about different emerging technology. The content of each annotated entry should be a solid 2 paragraphs long minimum. A title page should accompany the Annotated Bibliography followed by the entries.

Do attach all three full-text .pdf articles to your post. Check the attached files for more information.

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Naganathan, V. (2018). Comparative Analysis of Big Data, Big Data Analytics: Challenges and Trends. International Research Journal of Engineering and Technology (IRJET), 05(05), 1948-1964. Retrieved June 5, 2019, from

Bigdata is considered to be the burning issue in today’s world, the amount of data collected, stored, accessed and analyzed has become more important. This is used in various areas like marketing, sales, IT, Healthcare and more the challenges in maintaining with this kind of data is very crucial and has to comply with domestic and international laws in governing the use of such data. Big data analytics examine huge data and gives insights about it, because of bigdata technologies and cloud-based analytics, brought cost advantages in storing data, faster and better decision making and hence forth offering of new products or services which in turn benefits the business owners.

Multiple tools in different areas support the system, tools like Hadoop, MapReduce, Apache Spark, Tableau, R are to be named a few. Organizations use various methods, like Predictive Analysis, Data acquisition, Prescriptive Analytics, Descriptive Analytics, Data Integration and a few more. As per the Journal the data is flooding the world at 40% per year, and new cloud pricing models will be working on serving specific workloads at a better price and faster pace.

Gupta, Y., & Sharma, N. (2013). When BI Meets CRM: An Emerging concept in Retail Industry. International Journal of Business Analytics and Intelligence, 1(1). Retrieved from

According to Gupta et al, having a direct customer contact is very important as they are the final elements and the organization depends on the customer satisfaction. Organizations use various business intelligence tool to analyze the data and propose new services or products to the customer. This paper discusses the role of Business intelligence in businesses.

Business Intelligence system is a mixture of data warehousing and decision support system, the various source of data acquired, examined, transformed and stored in data warehouse, the relevant information from the data is mined and used using Business Intelligence facilities. In this competitive market the organizations use the BI tools and techniques in order to catchup the customer market.

Patnaik, P., Nagpal, P. B., & Sabeel, U. (June 2015). An Emerging 3-Tier Architecture model and Frameworks for Big Data Analytics. International Journal of Recent Research Aspects, 2(2), 35-41. Retrieved from

As the name goes Bigdata is where the data is very huge and the activities relating to it like storing, analyzing, visualizing is a complex structure. This paper discusses a 3-tier architecture model for big data analysis, challenges, model, attributes and more. The paper talks about categorization of the data on perspectives like: Variety, Volume, Velocity, Veracity, Analytical flexibility, Performance. This also talks about the preprocessing, offloading, exploration and mining of the data.

The first tier in the three-tier architecture model, here the big data is showed in the form of cloud and is generally formed with the collection of different and complex real time data. The tier two is Cluster analysis, the clustering algorithms have been emerged as powerful tools which help in analyzing huge data. Tier three is bigdata analytics and visualization, this layer work for data visualization that has extracted from the process of data mining.

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