Database Systems Journal

ISSN 2069 - 3230

The journal is published under the sponsorship of
The Bucharest University of Economic Studies
and it is produced by the university's own publishing division,
The Bucharest University of Economic Studies Publishing House

Database Systems Journal, Vol. IV, Issue 3/2013
Issue Topic: Big Data Challenges

Open PDF Journal


1. Enhancing the Ranking of a Web Page in the Ocean of Data (p. 3-9)
Hitesh KUMAR SHARMA, University of Petroleum and Energy Studies, India
In today's world, web is considered as ocean of data and information (like text, videos, multimedia etc.) consisting of millions and millions of web pages in which web pages are linked with each other like a tree. It is often argued that, especially considering the dynamic of the internet, too much time has passed since the scientific work on PageRank, as that it still could be the basis for the ranking methods of the Google search engine. There is no doubt that within the past years most likely many changes, adjustments and modifications regarding the ranking methods of Google have taken place, but PageRank was absolutely crucial for Google's success, so that at least the fundamental concept behind PageRank should still be constitutive. This paper describes the components which affects the ranking of the web pages and helps in increasing the popularity of web site. By adapting these factors website developers can increase their site's page rank and within the PageRank concept, considering the rank of a document is given by the rank of those documents which link to it. Their rank again is given by the rank of documents which link to them. The PageRank of a document is always determined recursively by the PageRank of other documents.
Keywords: SEO, Search Engine, Page Rank, Inbound, Outbound, DBMS.
2. About Big Data and its Challenges and Benefits in Manufacturing (p. 10-19)
Bogdan NEDELCU, University of Economic Studies, Bucharest, Romania
The aim of this article is to show the importance of Big Data and its growing influence on companies. It also shows what kind of big data is currently generated and how much big data is estimated to be generated. We can also see how much are the companies willing to invest in big data and how much are they currently gaining from their big data. There are also shown some major influences that big data has over one major segment in the industry (manufacturing) and the challenges that appear.
Keywords: Big Data, manufacturing, challenges, benefits.
3. From Big Data to Meaningful Information with SAS High-Performance Analytics (p. 20-30)
Silvia BOLOHAN, SAS Analytical Solutions Romania
Sebastian CIOBANU, SAS Analytical Solutions Romania
This paper is about the importance of Big Data and What You Can Accomplish with the data that counts. Until recently, organizations have been limited to using subsets of their data, or they were constrained to simplistic analyses because the sheer volumes of data overwhelmed their processing platforms. But, what is the point of collecting and storing terabytes of data if you can't analyze it in full context, or if you have to wait hours or days to get results? On the other hand, not all business questions are better answered by bigger data. How can you make the most of all that data, now and in the future? It is a twofold proposition. You can only optimize your success if you weave analytics into your solution. But you also need analytics to help you manage the data itself. There are several key technologies that can help you get a handle on your big data, and more importantly, extract meaningful value from it.
Keywords: big data, data visualization, high-performance analytics, grid computing, in-memory analytics, in database computing, Hadoop.
4. Big Data Challenges (p. 31-40)
Alexandru Adrian TOLE, Romanian - American University, Bucharest, Romania
The amount of data that is traveling across the internet today, not only that is large, but is complex as well. Companies, institutions, healthcare system etc., all of them use piles of data which are further used for creating reports in order to ensure continuity regarding the services that they have to offer. The process behind the results that these entities requests represents a challenge for software developers and companies that provide IT infrastructure. The challenge is how to manipulate an impressive volume of data that has to be securely delivered through the internet and reach its destination intact. This paper treats the challenges that Big Data creates.
Keywords: Big Data, 3V's, OLAP, security, privacy, sharing, value, infrastructure, technological solutions.
5. Personalized e-learning software systems. Extending the solution to assist visually impaired users (p. 41-49)
Diana BUTUCEA, University of Economic Studies, Bucharest, Romania
Discussing the subject of e-learning in the context of the latest updates of technology nowadays represents quite a challenge when the topic must be addressed to special classes of computer users. The paper will present a theoretical framework for visually impaired persons, followed by a technical implementation of the concept in relation with the e-learning context. The solution proposes an analytical approach over the computer aided learning mechanism, defining the concept of personalized learning and providing an example of implementation for a software system that, subsequently, offers support and assistance for visually impaired computer users. The technique implements a specially designed software library, integrates it in an e-learning software system and combines the power of a web-based solution with the support and guidance offered by a text-to-speech integration, resulting into a reliable e-learning software implementation. The paper also focuses on the theoretical aspects of the problem, and will present its conclusions at the end.
Keywords: e-learning, personalized learning, text-to-speech, JAWS, integration.
6. Comments on "Problem Decomposition Method to Compute an Optimal Cover for a Set of Functional Dependencies" (find here the cited article)
Xiaoning PENG, Huaihua University, Huaihua, Hunan, China
Zhijun XIAO, Huaihua University, Huaihua, Hunan, China