CALIBER 2015: Shimla,HP
Permanent URI for this collection
Browse
Browsing CALIBER 2015: Shimla,HP by Subject "Big Data"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Cataloguing to Facilitate Big Data Analytics(INFLIBNET Centre, 2015-03-12) Singh, Manish Kumar; Singh, D K“Big Data” is the popular term used to denote the collection of large data sets possessed by multiple systems. The inherent characteristics of this Big Data are the difficulty in processing due to sheer scale and accessibility of data and also un manageability through a traditional Database Management System. The size of this data set is ever increasing with increasing pace and addition of multi-exabytes per day. Apart from these, big data normally comprise of heterogeneous dataset, both structured and unstructured and also containing diverse data and file formats. It is very difficult to locate and retrieve the relevant information in real time from the universe of big data. Librarians, coming out of the walled library, can be expected to contribute in this task with their expertise in information organization and management. In this paper various challenges to the big data are identified and to address the challenges mechanisms for creating big data catalogue have been identified. Various mechanisms are discussed and compared and it is proposed to use the technique of library classification and cataloguing to catalogue the datasets in the big data thereby facilitating the information retrieval in the universe of big data.Item New Big Things in Era of Digital Data: ‘Big Data’& Big Data Challenges with its Solution Using Different Tools(INFLIBNET Centre, 2015-03-12) Gondaliya, Tapan P; Joshi, Hiren D; Joshi, Hardik JOne of the new technologies recently evaluated is called the ‘Big Data”. Now a day’s in this digital data era everything is digital like an e-library, e-mail, e-shopping, e-ticket, e-payment, e-governance and many more. People used more and more websites for entertainment like a facebook, twitter, and youtube for video, photos, twits, and data downloads as well as uploads on the internet. Internet has stored a massive amount of data or information that is in the zeta or in Exabyte’s it is nothing but the Big Data. According to IDC in future the growth of data will never stop and it will become in 7910 Exabyte’s in end of year 2015. Big Data is basically in the format of uncompressed data so it is very large, complex and difficult to process in traditional data processing application. So in this kind of massive dataset it’s very difficult to visualize, analyze, search, storage and transfer the data for any of the organization or company. And these are the biggest challenges for big company to how to solve this kind of problem. Behind this paper our main motive is to describe the reality of big data, how can different big data with the traditional database, what are the different types of big data, characteristic of big data and in actual how its work with different tools and technology and how company can face these big challenges using these tools. Here we also describe the comparative study of different tools that is basically used for analyze, visualize, store and transfer a big data.