DATA LAKES – A NEW DATA REPOSITORY FOR BIG DATA ANALYTICS WORKLOADS
Main Article Content
Abstract
Today, 67% of all storage capability support unstructured information. By 2017, this can increase to 80%. Firm’s unit understand that
to resolve these growth challenges an approach is needed to manage and maintain the data. An info lake or knowledge hub is also a scalable
infrastructure that is economically partaking and designed for flexibility [1]. It provides developers one place to store all of their structured and
semi-structured information in its native format whereas not having to stress regarding storage and capability limitations on individual files. In
2015, information lakes will evolve as organizations move from batch to data processing and integrate file-based Hadoop and information
engines into their large-scale processing platforms. The big trend in 2015 goes to be around the continuous access and method of events and
information in real time to appreciate constant awareness and take immediate action.
Keywords: Information Lake, information Warehouse, huge information Analytics, Hadoop.
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.