Essay --

â€Å"The world’s information is doubling every two years. Inter- national Data corporation believes that the Digital Universe will grow by 44 times that of 2009 by 2020. IBM estimates that data is growing at a compound annual growth rate of 64% a year or more.†[2] In such a scenario handling data in an effective manner is really important. There is a huge in- crease in data from experimental sciences. Data today comes in all types of formats. It may be structured or unstructured. Unstructured data is everywhere, some of the examples are satellite images, photographs and videos, social media data, scientific data, financial transactions and the list goes on.[3] Different types of information will have different properties. Managing and governing all these different variety of data is not easy. Beyond that managing the data without affecting the performance of the system is crucial. In this paper we will be going through four research papers from the Session Databases of CIKM 2012: Maui, HI, USA which discusses about the Information storage and retrieval. We will dis- cuss techniques that provide a better solution to manage data. The research papers present a storage system for Big spatio-temporal data, a model for positional access of rela- tional data, and approaches for querying DBpedia data and optimization of Data migration. 1. OVERVIEW In this paper, four research papers are discussed which focus on the storage and retrieval of different varieties of data. In the further sections we discuss how the papers we selected have given different models and techniques for effi- cient data management operations like storage and retrieval of different varieties of data. The organization of the paper will be as follows, section 2 will discuss... ... and how the approach gives better performance results. The other two papers Lushan et al [7] and Xiulei et al [8] provide good insights about quering DBpedia and optimizing data migration respectively. Lastly, there are no generalized methods for loading, re- trieving or as a whole handling and managing variety of data. Different approaches have to be used depending upon the kinds of data. There are numerous tools for capturing data and so the data is growing everyday bigger and bigger. Consequently, there is going to be increase in the number of tools to analyse the data because of its diversity. Each tool or technique is precise to a particular kind of data. At the user’s end, one has to learn various approaches to han- dle variety of data. To summarize, a generalized method of handling data would make life smooth. However, it’s not easy to design such a system.